Stable 730(seo) - #20
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…ents, analytics dashboard, AI services, and various UI components
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WalkthroughThis update introduces major enhancements and refactors across the codebase. It adds numerous new API endpoints, feature-rich documentation, and demo pages, while removing legacy scripts and backend examples. The AI and analytics engines are refactored for multi-provider support and backend integration. Blog and documentation content is significantly expanded, and new developer tooling, scripts, and configuration files are introduced. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Frontend
participant API_Route
participant Backend
participant AI_Service
User->>Frontend: Initiates resume analysis/upload/template/video/etc.
Frontend->>API_Route: Sends request (e.g., resume, template params)
API_Route->>Backend: (If applicable) Proxies request with auth token
Backend-->>API_Route: Returns processed data/response
API_Route->>AI_Service: (If AI needed) Calls AI provider (Mistral/Gemini)
AI_Service-->>API_Route: Returns AI-generated result
API_Route-->>Frontend: Returns final response (analysis, video, suggestions)
Frontend-->>User: Displays results/interacts
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120+ minutes Poem
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Actionable comments posted: 60
🔭 Outside diff range comments (8)
docs/features/21.Interview-Prep-Kit.md (1)
1-26: Enhance documentation with technical details and user stories.The feature documentation provides a good overview but could be more comprehensive for implementation purposes.
Consider adding these sections:
# Feature: Interview Preparation Kit ## Description A comprehensive resource hub that provides users with the tools and information they need to prepare for job interviews. This feature aims to help users feel more confident and prepared for their interviews, increasing their chances of success. +## User Stories + +- As a job seeker, I want to research companies so I can tailor my interview responses +- As a user, I want to practice common interview questions to build confidence +- As a candidate, I want role-specific questions so I can prepare for technical interviews +- As an interviewee, I want mock interview feedback to improve my performance + +## Acceptance Criteria + +- [ ] Company research displays recent news and company information +- [ ] Question bank includes 50+ common and role-specific questions +- [ ] Mock interview records and analyzes user responses +- [ ] Feedback system provides actionable improvement suggestions + ## Key Features * **Company Research:** Provides users with a summary of the company they are interviewing with, including its mission, values, recent news, and key products or services. * **Common Interview Questions:** A list of common interview questions, along with tips on how to answer them. * **Role-Specific Questions:** A list of interview questions tailored to the specific role the user is applying for. * **Mock Interview Simulator:** A tool that allows users to practice their answers to common interview questions and receive feedback. +## Data Requirements + +- Company information API integration +- Question database with categorization +- User session storage for mock interviews +- Feedback analytics and scoring algorithms + ## User Interface * A dashboard with different sections for company research, interview questions, and the mock interview simulator. * A search bar to find information about a specific company. * An interactive mock interview simulator with a webcam and microphone. ## Technical Implementation * **Frontend:** React, DaisyUI, Tailwind CSS * **Backend:** Node.js, Express.js * **API Integration:** Integration with a news API to fetch recent news about companies. * **WebRTC:** For the mock interview simulator. + +## Security Considerations + +- Secure storage of recorded interview sessions +- Privacy controls for webcam/microphone access +- Data retention policies for user practice sessions + +## Performance Requirements + +- Real-time video/audio processing for mock interviews +- Fast company data retrieval (< 2s response time) +- Scalable storage for user session dataThis would provide better guidance for implementation and testing.
package.json (1)
59-149: Address security vulnerability and review dependency upgrades
- High-severity vulnerability found in linkifyjs (<4.3.2). Run
npm audit fixor manually upgrade to ≥4.3.2 to eliminate the prototype-pollution/XSS risk.- Multiple direct dependencies have newer major versions available that may include breaking changes:
• react & react-dom: 18.3.1 → 19.1.1
• tailwindcss: 3.4.17 → 4.1.11
• express: 4.19.2 → 5.1.0
• react-day-picker: 8.10.1 → 9.8.1
• recharts: 2.15.4 → 3.1.0
• zod: 3.25.76 → 4.0.14
Review each package’s migration guide and run full regression testing if you choose to upgrade.- Several non-breaking updates are also available (e.g. @hookform/resolvers 4.1.3 → 5.2.1; dotenv 16.5.0 → 17.2.1; date-fns 3.6.0 → 4.1.0). Consider bumping these to pick up the latest fixes.
docs/features/16.Resume-Optimizer.md (1)
1-27: Well-structured feature documentation with room for enhancement.The documentation provides a clear overview of the Resume Optimizer feature with well-defined sections. However, consider adding the following to make it more comprehensive:
- Success metrics and acceptance criteria - Define measurable goals for the feature
- Data privacy and security considerations - Especially important for resume data handling
- Testing strategy - Unit, integration, and user acceptance testing plans
- Implementation timeline - Phased rollout approach
- Database selection rationale - Justify the choice between PostgreSQL and MongoDB
+## Success Metrics + +* **User Engagement:** 70% of users complete the full optimization process +* **Improvement Score:** Average resume score increases by 30% after optimization +* **User Satisfaction:** 85% user satisfaction rating + +## Security & Privacy + +* Resume data encrypted at rest and in transit +* User consent required for data processing +* Data retention policy: 90 days after account deletion +* GDPR and CCPA compliance + +## Implementation Timeline + +* **Phase 1 (Weeks 1-2):** Backend API development +* **Phase 2 (Weeks 3-4):** Frontend UI implementation +* **Phase 3 (Weeks 5-6):** Integration and testingsrc/app/blog/data-privacy/page.tsx (3)
1-1: Consider server-side rendering for better performance.This blog page contains primarily static content but is rendered client-side due to the share functionality. Consider moving to server-side rendering for better SEO and performance.
Move this to a server component and handle the share URL differently:
-'use client'; +import { headers } from 'next/headers';Then update the URL logic:
-export default function DataPrivacyPage() { - const currentUrl = typeof window !== 'undefined' ? window.location.href : ''; +export default function DataPrivacyPage() { + const headersList = headers(); + const host = headersList.get('host') || ''; + const proto = headersList.get('x-forwarded-proto') || 'http'; + const currentUrl = `${proto}://${host}/blog/data-privacy`;Alternatively, pass the URL as a prop to the ShareButton component from a client wrapper.
Also applies to: 10-12
60-415: Extract blog content to improve maintainability and performance.The component contains ~350 lines of static text content, which impacts bundle size and maintainability. Consider extracting this content.
Options for better content management:
- MDX approach (recommended for blog content):
// Move content to data-privacy.mdx // Use @next/mdx or next-mdx-remote
- JSON/TypeScript data file:
// src/data/blog/data-privacy-content.ts export const dataPrivacyContent = { introduction: "...", keyTakeaways: [...], sections: [...] };
- CMS integration for dynamic content management
Would you like me to help implement one of these approaches or create an issue to track this refactoring?
427-443: Ensure referenced whitepaper PDFs are present and correctThe
WhitepaperCardentries for “Data Privacy in Recruitment Guide” and “GDPR Compliance Checklist” must point to real, properly sized files inpublic/whitepapers.• Missing file
- public/whitepapers/gdpr-checklist.pdf is not in the repo. Please add it.
• Unexpected file size- public/whitepapers/data-privacy-guide.pdf exists but is only 4 KB (expected ~2.4 MB). Confirm you’ve uploaded the full document.
Once both PDFs are in place with correct contents and sizes, consider optimizing (or moving large files to a CDN) to improve load times and reduce bandwidth costs.
src/ai/genkit.ts (1)
385-392: Critical: isAvailable only checks Mistral API key.The
isAvailablemethod only checks for Mistral API keys but ignores Gemini, which could return false even when Gemini is properly configured.Update to check both providers:
isAvailable: (): boolean => { try { - const apiKey = process.env['MISTRAL_API_KEY'] || process.env['NEXT_PUBLIC_MISTRAL_API_KEY']; - return !!apiKey; + const mistralKey = process.env['MISTRAL_API_KEY'] || process.env['NEXT_PUBLIC_MISTRAL_API_KEY']; + const geminiKey = process.env['GEMINI_API_KEY'] || process.env['NEXT_PUBLIC_GEMINI_API_KEY']; + return !!(mistralKey || geminiKey); } catch { return false; } },src/app/blog/employer-best-practices/page.tsx (1)
50-56: Missing image assets – action requiredA verification check against
public/imagesuncovered several referenced files that are not present:
- public/images/blog/recruitment-strategies.jpg
- public/images/blog/employee-development.jpg
- public/images/blog/performance-management.jpg
- public/images/blog/employee-engagement.jpg
- public/images/blog/remote-management.jpg
- public/images/whitepapers/team-building-guide.jpg
Missing assets will cause broken images in production. Please add these files to the appropriate folders or update the
srcpaths before deployment.
♻️ Duplicate comments (3)
src/app/blog/future-of-ai-in-hr/page.tsx (1)
164-171: Update to modern Next.js Link pattern.The nested anchor tag pattern is deprecated in Next.js 13+. This is the same issue identified in the company culture page.
Apply this diff to use the modern Link pattern:
- <div className="mt-12 text-center"> - <Link href="/blog"> - <a className="text-blue-600 hover:underline"> - <ArrowLeft className="inline-block mr-2" /> - Back to Blog - </a> - </Link> - </div> + <div className="mt-12 text-center"> + <Link href="/blog" className="text-blue-600 hover:underline"> + <ArrowLeft className="inline-block mr-2" /> + Back to Blog + </Link> + </div>src/app/blog/remote-work-guide/page.tsx (1)
10-11: Same hydration issue as the LinkedIn guide.The client-side URL detection pattern is repeated here and has the same hydration mismatch concern mentioned in the LinkedIn optimization guide.
Apply the same fix using
useRouteranduseEffectas suggested in the LinkedIn guide review.src/app/blog/salary-negotiation-strategies/page.tsx (1)
1-1: Same client-side rendering concern as other blog pages.This blog page has the same issue with client-side rendering of static content as noted in the data-privacy page review. Consider the same server-side rendering approach for better performance and SEO.
Also applies to: 20-22
🧹 Nitpick comments (54)
docs/features/20.Cover-Letter-Personalization.md (1)
1-24: Add acceptance criteria & success metrics to the feature specThe document explains what the tool does, but omits measurable acceptance criteria (e.g., latency, accuracy thresholds) and UX success metrics (e.g., user adoption, engagement KPIs). Including these clarifies “definition of done” and aids QA & analytics.
src/ai/flows/icebreaker-generator.ts (2)
41-47: Validate 3rd-party output with Zod before returning
mistralGenerateIcebreakeris an external service and may drift from the expected contract. Parse the result withGenerateIcebreakerQuestionOutputSchemato avoid leaking malformed data:- const result = await mistralGenerateIcebreaker({ + const raw = await mistralGenerateIcebreaker({ candidateName: input.candidateName, jobDescription: input.jobDescription, candidateSkills: input.candidateSkills, companyNeeds: input.companyNeeds, pastProjects: input.pastProjects, }); + + const parsed = GenerateIcebreakerQuestionOutputSchema.safeParse(raw); + if (!parsed.success) { + console.warn('Enhanced AI returned invalid payload:', parsed.error); + return generateFallbackIcebreaker(input); + }Then use
parsed.datainstead ofresult.
90-118: Avoid duplicating two distinct icebreaker generatorsThe module now has:
generateIcebreakerQuestion→ enhancedAIServicegenerateIcebreakerQuestionFlow→ prompt + fallbackMaintaining parallel flows increases divergence risk and cognitive load. Prefer a single source of truth (e.g., make the flow call the service internally and fallback to the prompt only when the service is unavailable).
src/app/blog/success-stories/page.tsx (1)
88-278: Consider adding structured data markup for better SEO.The detailed success stories are excellent for content marketing, but could benefit from structured data to enhance search engine understanding:
Consider adding JSON-LD structured data for each success story:
+import Script from 'next/script'; export default function SuccessStoriesPage() { const currentUrl = typeof window !== 'undefined' ? window.location.href : ''; + + const structuredData = { + "@context": "https://schema.org", + "@type": "Article", + "headline": "Success Stories: How SwipeHire Transformed Recruitment for 8 Leading Companies", + "author": { + "@type": "Organization", + "name": "SwipeHire" + }, + "datePublished": "2024-03-11", + "mainEntity": [ + { + "@type": "Organization", + "name": "TechCorp", + "description": "70% reduction in time-to-hire and 45% improvement in candidate quality" + } + // Add other companies... + ] + }; return ( <div className="min-h-screen bg-background"> + <Script + id="structured-data" + type="application/ld+json" + dangerouslySetInnerHTML={{ + __html: JSON.stringify(structuredData), + }} + />This would improve search engine visibility and enable rich snippets.
docs/features/19.Networking-Assistant.md (2)
15-17: Enhance UI specification with error handling and edge cases.Consider adding details for:
- Empty state handling when no contacts are found
- LinkedIn authentication flow and permissions
- Loading states during API calls
- Error messages for API failures or access issues
19-24: Add more detailed technical implementation considerations.The current specification could benefit from additional technical details:
Consider adding:
- Authentication: OAuth 2.0 flow for LinkedIn API access
- Data Storage: Caching strategy for contact information (respecting LinkedIn's data usage policies)
- Security: Encryption of stored user tokens and contact data
- Rate Limiting: Implementation of exponential backoff and request queuing
- Error Handling: Comprehensive error handling for API failures, expired tokens, and permission issues
- Compliance: GDPR/privacy regulation compliance for storing contact information
docs/features/17.Job-Freshness-Filter.md (2)
15-16: Consider filter interaction and UX details.The UI specification could be enhanced with:
- How this filter combines with existing search filters (location, salary, etc.)
- Default selected state (e.g., "All time" or "Last week")
- Mobile-responsive design considerations for dropdown vs radio buttons
- Filter persistence across user sessions
20-22: Add performance and scalability considerations.Consider enhancing the technical implementation with:
**Technical Implementation** * **Frontend:** React, DaisyUI, Tailwind CSS * **Backend:** Node.js, Express.js * **Database:** The job posting schema in the database will need to include a timestamp for when the job was posted. +* **Performance:** Database indexing on posting timestamp for efficient filtering +* **Caching:** Consider caching filtered results for common time ranges +* **Real-time Updates:** Strategy for updating job freshness indicators as time progressessrc/app/blog/linkedin-optimization-guide/page.tsx (2)
72-81: Add error handling and loading states for hero image.The hero image lacks error handling and loading states, which could impact user experience if the image fails to load.
+import { useState } from 'react'; + +export default function LinkedInOptimizationGuidePage() { + const [imageError, setImageError] = useState(false); + const [imageLoading, setImageLoading] = useState(true); <div className="relative mb-8 aspect-[16/9] w-full overflow-hidden rounded-lg shadow-lg"> + {imageLoading && ( + <div className="absolute inset-0 flex items-center justify-center bg-gray-200"> + <div className="h-8 w-8 animate-spin rounded-full border-4 border-blue-500 border-t-transparent" /> + </div> + )} + {imageError ? ( + <div className="flex h-full items-center justify-center bg-gray-100 text-gray-500"> + <span>Image failed to load</span> + </div> + ) : ( <Image src="/images/blog/digital-personal-branding.jpg" alt="LinkedIn Optimization Guide" fill className="object-cover" priority + onLoad={() => setImageLoading(false)} + onError={() => { + setImageError(true); + setImageLoading(false); + }} /> + )} </div>
412-427: Hardcoded link may break if route changes.The hardcoded link to
/resume-optimizercould break if the route structure changes. Consider using a centralized route configuration.+// In a routes config file +export const ROUTES = { + RESUME_OPTIMIZER: '/resume-optimizer', + // ... other routes +} as const; <Link - href="/resume-optimizer" + href={ROUTES.RESUME_OPTIMIZER} className="font-semibold text-blue-600 hover:underline" > AI-Powered Resume Optimizer </Link>docs/tasks/resume_optimizer_implementation.md (1)
8-8: Consider improving markdown formatting for URLs.The documentation is comprehensive and well-structured. However, there are multiple bare URLs that could be better formatted for markdown compliance.
Consider wrapping the URLs in code blocks or formatting them as proper markdown links:
-Start-Process "http://localhost:3000/resume-optimizer" +Start-Process `"http://localhost:3000/resume-optimizer"`Or use proper markdown links where contextually appropriate:
-http://localhost:3000/resume-optimizer +[Resume Optimizer](http://localhost:3000/resume-optimizer)Also applies to: 34-34, 57-57, 80-80, 104-104, 128-128, 153-153, 177-177, 217-217, 240-240, 243-243, 246-246, 249-249
src/app/blog/career-transition-strategies/page.tsx (2)
1-11: Consider server-side rendering optimization.The component uses
'use client'but most of the content is static. The only client-side requirements are the ShareButton andwindow.location.hrefaccess. Consider moving the URL logic to the ShareButton component and making this a server component for better performance and SEO.-'use client'; - -import { ArrowLeft, Calendar, Clock, MessageSquare, TrendingUp } from 'lucide-react'; -import Image from 'next/image'; -import Link from 'next/link'; -import { ShareButton } from '@/components/blog/ShareButton'; -import { WhitepaperCard } from '@/components/blog/WhitepaperCard'; -import { Button } from '@/components/ui/button'; - -export default function CareerTransitionStrategiesPage() { - const currentUrl = typeof window !== 'undefined' ? window.location.href : ''; +import { ArrowLeft, Calendar, Clock, MessageSquare, TrendingUp } from 'lucide-react'; +import Image from 'next/image'; +import Link from 'next/link'; +import { ShareButton } from '@/components/blog/ShareButton'; +import { WhitepaperCard } from '@/components/blog/WhitepaperCard'; +import { Button } from '@/components/ui/button'; + +export default function CareerTransitionStrategiesPage() {Then update the ShareButton to handle URL detection internally.
186-621: Abstract repetitive section patterns.The main content sections follow an identical pattern (heading + image + paragraphs) that creates significant code duplication. Consider creating reusable components for better maintainability.
Create a BlogSection component:
// components/blog/BlogSection.tsx interface BlogSectionProps { title: string; image: { src: string; alt: string; }; content: string[]; } export function BlogSection({ title, image, content }: BlogSectionProps) { return ( <> <h2>{title}</h2> <div className="relative my-6 h-[300px] w-full overflow-hidden rounded-lg"> <Image src={image.src} alt={image.alt} fill className="object-cover" /> </div> {content.map((paragraph, index) => ( <p key={index}>{paragraph}</p> ))} </> ); }Then use it in the main component:
{sections.map((section) => ( <BlogSection key={section.id} {...section} /> ))}src/app/api/resume-optimizer/video/generate/route.ts (1)
235-376: Well-structured GET handler with comprehensive data.The GET handler effectively uses action-based routing to provide detailed template, voice, and quota information. The response objects are comprehensive with rich metadata.
Consider adding action validation for better error handling:
export async function GET(request: NextRequest) { const { searchParams } = new URL(request.url); const action = searchParams.get('action'); + const validActions = ['templates', 'voices', 'quota']; + if (!action || !validActions.includes(action)) { + return NextResponse.json( + { success: false, error: `Invalid action. Valid actions: ${validActions.join(', ')}` }, + { status: 400 } + ); + } try { switch (action) {scripts/dev-setup.ps1 (1)
55-112: Comprehensive environment and service setup.The environment configuration covers all essential services with good fallback logic:
- Proper environment file creation from example or template
- Comprehensive variable coverage (Firebase, AI services, database)
- Firebase CLI installation and setup guidance
- Clear user instructions for next steps
Note: The database initialization section (lines 108-112) contains placeholder logic that will need implementation.
Do you want me to help implement the database initialization logic for specific database systems?
docs/features/11.Application-Templates.md (1)
11-140: Fix markdown formatting issues.The static analysis identified several markdown formatting inconsistencies that should be addressed:
-### AI Integration Details: +### AI Integration Details -### Performance Considerations: +### Performance Considerations -### Frontend Components: +### Frontend Components -### Backend API Endpoints: +### Backend API Endpoints -### Database Schema: +### Database Schema -### Sample Template Structure: +### Sample Template Structure -### Validation Rules: +### Validation Rules -### Security Considerations: +### Security Considerations -### Testing Plan: +### Testing PlanAlso add language specification to the fenced code block:
-``` +```http GET /api/templates - List all templates GET /api/templates/:id - Get single template POST /api/templates/:id/customize - Save user customization POST /api/templates/generate - AI-assisted template generation</blockquote></details> <details> <summary>src/app/demo/ats-scanner/page.tsx (2)</summary><blockquote> `21-164`: **Consider extracting sample data to separate files for better maintainability.** The hardcoded `SAMPLE_RESUMES` and `SAMPLE_JOB_DESCRIPTIONS` objects are well-structured but make the component file quite large. Consider moving these to separate data files or a constants directory. ```diff +// Create src/data/sampleResumes.ts +export const SAMPLE_RESUMES = { + // Move content here +}; + +// Create src/data/sampleJobDescriptions.ts +export const SAMPLE_JOB_DESCRIPTIONS = { + // Move content here +};Then import them in the component:
+import { SAMPLE_RESUMES } from '@/data/sampleResumes'; +import { SAMPLE_JOB_DESCRIPTIONS } from '@/data/sampleJobDescriptions';
209-463: Consider breaking down this large component into smaller sub-components.The main JSX structure is well-organized but the component is quite large (463 lines). Consider extracting logical sections into separate components for better maintainability and reusability.
Potential sub-components to extract:
ATSScannerHeader(lines 213-241)ConfigurationTab(lines 255-372)DemoTab(lines 375-408)FeaturesOverview(lines 411-459)Example:
+// Create src/components/demo/ats-scanner/ATSScannerHeader.tsx +export function ATSScannerHeader() { + return ( + <div className="space-y-4 text-center"> + {/* Header content */} + </div> + ); +}This would improve code organization and make the main component more focused on orchestration rather than presentation details.
src/app/blog/how-to-beat-the-ats-in-2025/page.tsx (1)
53-53: Update the hardcoded publication date for consistency.The publication date "October 26, 2023" appears inconsistent with the current timeframe. Consider using a more recent date or making the date dynamic.
- <span>Published on October 26, 2023</span> by{' '} + <span>Published on {new Date().toLocaleDateString()}</span> by{' '}Or use a consistent date across the blog:
- <span>Published on October 26, 2023</span> by{' '} + <span>Published on July 19, 2025</span> by{' '}jest.setup.js (1)
204-240: Consider using Testing Library's waitFor instead of custom implementation.The global test utilities are helpful, but the custom
waitForimplementation duplicates functionality available in@testing-library/react. Consider using the standard library version for consistency.- waitFor: (callback, timeout = 1000) => { - return new Promise((resolve, reject) => { - // ... custom implementation - }); - }, + // Remove custom waitFor and use @testing-library/react's waitFor insteadThe rest of the utilities (
createMockUser,createMockEvent) are useful and not duplicated by standard libraries.src/app/blog/digital-personal-branding/page.tsx (1)
1-11: Avoid client-side rendering just for URL access.The component is marked as
'use client'primarily to accesswindow.location.hreffor the share button. Consider alternatives to avoid unnecessary client-side rendering.Options:
- Pass the URL as a prop from a parent component
- Use server-side logic to determine the URL
- Make the ShareButton handle URL detection internally
-'use client'; - -// ... other imports - -export default function DigitalPersonalBrandingPage() { - const currentUrl = typeof window !== 'undefined' ? window.location.href : ''; +export default function DigitalPersonalBrandingPage() { + // Remove currentUrl logic and let ShareButton handle it internallysrc/app/blog/ai-interview-preparation/page.tsx (3)
27-27: Consider making the publication date dynamicThe hardcoded date "May 5, 2024" should ideally come from a CMS or configuration to avoid manual updates.
- <span>May 5, 2024</span> + <span>{formatDate(publishedDate)}</span>
51-56: Add explicit width and height for better performanceWhile using
fillwith a container is valid, consider adding explicit dimensions to prevent layout shift.<Image src="/images/blog/ai-interview-preparation.jpg" alt="AI Interview Preparation" fill className="object-cover" priority + sizes="(max-width: 768px) 100vw, (max-width: 1200px) 50vw, 33vw" />
63-66: Statistics should be sourced from dataThe hardcoded statistics in the lead quote should ideally come from a data source or configuration file to make updates easier.
src/app/demo/ai-video-generator/page.tsx (1)
371-396: Consider security implications of exposing API detailsExposing detailed API request/response structures in a public demo might provide too much information to potential attackers. Consider showing only essential information or requiring authentication to view technical details.
src/app/api/portfolio/route.ts (1)
62-63: Avoid exposing backend configuration detailsThe error message could reveal backend configuration. Consider using a generic message.
if (!baseUrl) { - throw new Error('Backend URL not configured'); + throw new Error('Service temporarily unavailable'); }src/app/ai-hr-assistant/page.tsx (1)
162-162: Unnecessary JSX expression for string literal.The change from
'<24h'to{'<24h'}doesn't provide any benefit. String literals can be used directly in JSX without wrapping in curly braces.- <div className="font-bold text-2xl text-white">{'<24h'}</div> + <div className="font-bold text-2xl text-white"><24h</div>Note: If you want to display the
<character safely, use<instead.src/app/blog/inclusive-recruitment-practices/page.tsx (1)
76-84: Consider lazy loading the hero image.The hero image uses
prioritywhich eagerly loads it. For a blog page below the fold, consider removingpriorityto improve initial page load performance.<Image src="/images/blog/diversity-inclusion.jpg" alt="Inclusive Recruitment Practices" fill className="object-cover" - priority + loading="lazy" />src/app/api/analytics/insights/route.ts (1)
33-78: Add TODO comment for production implementation.The mock data should have a clear TODO comment indicating this needs to be replaced with database queries in production.
- // Mock sessions data (in real implementation, this would come from database) + // TODO: Replace mock data with database queries in production + // Mock sessions data (in real implementation, this would come from database) const mockSessions: OptimizationSession[] = [src/app/api/resume-optimizer/templates/route.ts (1)
289-293: Consider extracting the scoring algorithm.The template scoring algorithm combines popularity and ATS score. Consider extracting this to a separate function for reusability and easier testing.
+ // Helper function for template scoring + const calculateTemplateScore = (template: IndustryTemplate): number => { + return template.popularity * 0.6 + template.atsScore * 0.004; + }; + // Sort by popularity and ATS score filteredTemplates.sort((a, b) => { - const scoreA = a.popularity * 0.6 + a.atsScore * 0.004; - const scoreB = b.popularity * 0.6 + b.atsScore * 0.004; + const scoreA = calculateTemplateScore(a); + const scoreB = calculateTemplateScore(b); return scoreB - scoreA; });docs/DEVELOPMENT_GUIDE.md (2)
17-32: Add language specifiers to code blocks for syntax highlighting.The markdown linter correctly identified missing language specifiers on fenced code blocks.
Add language specifiers:
-``` +```text src/ ├── app/ # Next.js App Router pagesAnd for the test structure:
-``` +```text src/ ├── components/Also applies to: 259-274
101-120: Review TypeScript configuration for redundancy and practicality.Some TypeScript options are redundant or might be overly restrictive:
noImplicitAny,noImplicitThisare already enabled bystrict: trueexactOptionalPropertyTypescan make working with third-party libraries difficultConsider a more balanced configuration:
{ "compilerOptions": { "strict": true, - "noImplicitAny": true, "noImplicitReturns": true, - "noImplicitThis": true, "noUnusedLocals": true, "noUnusedParameters": true, - "exactOptionalPropertyTypes": true, + "exactOptionalPropertyTypes": false, // Enable only if team is ready "noUncheckedIndexedAccess": true, // ... rest of options } }Add a note explaining which options are already included in
strictmode.src/app/demo/ai-resume-optimizer/page.tsx (1)
188-224: Consider extracting sample data to reduce component complexity.The sample resume data adds unnecessary bulk to the component file.
Extract to a separate file:
// src/data/demo/sample-resume.ts export const SAMPLE_RESUME = { text: `John Doe Software Engineer ...`, targetJob: { title: 'Senior Full Stack Developer', company: 'Google', keywords: ['React', 'Node.js', 'TypeScript', 'AWS', 'Docker', 'Kubernetes', 'Python', 'GraphQL'] } };Then import and use:
+import { SAMPLE_RESUME } from '@/data/demo/sample-resume'; <div className="max-h-48 overflow-y-auto rounded bg-gray-50 p-4 font-mono text-gray-700 text-sm"> - {`John Doe...`} + {SAMPLE_RESUME.text} </div>src/app/blog/page.tsx (3)
1-18: Consider organizing imports by type for better readability.Group imports by external packages, internal components, and types for improved maintainability.
'use client'; +// External packages +import React from 'react'; +import Link from 'next/link'; import { BookOpen, Briefcase, Download, FileText, FileVideo2, Shield, TrendingUp, Users, Zap, } from 'lucide-react'; -import Link from 'next/link'; -import React from 'react'; + +// Internal components import { Button } from '@/components/ui/button'; import { CardContent, CardTitle } from '@/components/ui/card';
19-158: Refactor categoryMeta to reduce duplication and improve maintainability.The categoryMeta array contains repetitive color schemes and styling patterns. Consider extracting color themes and using a more concise structure.
Create a color themes object and simplify the category metadata:
const colorThemes = { blue: { gradient: 'from-blue-500 to-cyan-500', text: 'text-blue-600', border: 'border-t-4 border-blue-400', iconBg: 'bg-blue-100', iconText: 'text-blue-500', }, purple: { gradient: 'from-purple-500 to-indigo-400', text: 'text-purple-600', border: 'border-t-4 border-purple-400', iconBg: 'bg-purple-100', iconText: 'text-purple-500', }, // ... other themes } as const; const categoryMeta = [ { label: 'TRENDS', theme: colorThemes.blue, time: '5 min read' }, { label: 'TIPS', theme: colorThemes.purple, time: '7 min read' }, // ... more categories ];This approach reduces code duplication and makes it easier to maintain consistent styling across categories.
335-337: Improve error handling for missing category metadata.Instead of returning null when meta is missing, consider using a default theme or logging a warning.
const meta = categoryMeta[index]; -if (!meta) return null; +if (!meta) { + console.warn(`Missing category metadata for index ${index}`); + // Use a default theme or skip rendering + return null; +}docs/features/15.Extension-Features.md (2)
30-41: Consider the technical complexity and adoption readiness of VR and blockchain features.While innovative, the Metaverse Interview Prep and Blockchain Credential Verifier features may face adoption challenges:
- Metaverse/VR: Requires users to have VR hardware, which limits accessibility
- Blockchain: Adds significant technical complexity and may not provide clear value over traditional verification methods
Consider starting with MVP versions or making these features optional/premium.
81-98: Well-structured implementation plan with appropriate technical considerations.The implementation approach correctly leverages existing services and identifies necessary integration points. Consider adding API rate limiting for external service integrations (LinkedIn, social media monitoring).
Add rate limiting considerations:
- **API Rate Limiting** (NEW) - Implement rate limiting for LinkedIn API calls - Queue system for social media monitoring requests - Caching strategy for frequently accessed external datasrc/app/api/analytics/sessions/route.ts (2)
131-155: Consider using a validation library for better maintainability.While the manual validation works, consider using a library like Zod or Yup for schema validation.
// Example with Zod import { z } from 'zod'; const createSessionSchema = z.object({ userId: z.string().min(1), beforeAnalysis: z.object({ overallScore: z.number(), atsScore: z.number(), }), targetRole: z.string().min(1), targetIndustry: z.string().min(1), resumeId: z.string().optional(), suggestionsTotal: z.number().optional().default(0), sessionType: z.enum(['manual', 'automated']).optional().default('manual'), templateUsed: z.string().optional(), }); // In the handler: const validatedData = createSessionSchema.parse(body);
218-225: Add validation for update fields and consider returning updated data.The update handler should validate the fields being updated and potentially return the updated session data.
// Update session using analytics service - await resumeAnalyticsService.updateSession(body.sessionId, { + const allowedFields = ['afterAnalysis', 'suggestionsApplied', 'status', 'timeSpent', 'templateUsed']; + const updateData = Object.keys(body) + .filter(key => allowedFields.includes(key)) + .reduce((acc, key) => ({ ...acc, [key]: body[key] }), {}); + + const updatedSession = await resumeAnalyticsService.updateSession(body.sessionId, updateData); const response: AnalyticsAPIResponse<{ message: string }> = { success: true, - data: { message: 'Session updated successfully' }, + data: { message: 'Session updated successfully', session: updatedSession },.github/workflows/ci.yml (1)
207-217: Implement notification logic and fix formatting
- The notification steps only echo to console. Consider implementing actual notifications (Slack, Discord, email).
- Add a newline at the end of the file to follow YAML best practices.
- name: Notify on success if: needs.deploy.result == 'success' run: | echo "✅ Deployment successful!" - # Add notification logic here (Slack, Discord, etc.) + # Example: Send to Slack webhook + # curl -X POST -H 'Content-type: application/json' \ + # --data '{"text":"✅ Deployment successful for ${{ github.repository }}"}' \ + # ${{ secrets.SLACK_WEBHOOK_URL }} || true - name: Notify on failure if: needs.deploy.result == 'failure' run: | echo "❌ Deployment failed!" - # Add notification logic here (Slack, Discord, etc.) + # Example: Send to Slack webhook + # curl -X POST -H 'Content-type: application/json' \ + # --data '{"text":"❌ Deployment failed for ${{ github.repository }}"}' \ + # ${{ secrets.SLACK_WEBHOOK_URL }} || true +scripts/generate-component.ps1 (1)
160-162: Improve cn utility mock for more realistic behaviorThe current mock implementation doesn't properly simulate the behavior of the cn utility (likely using clsx/twMerge). This could lead to false positives in tests.
jest.mock('@/lib/utils', () => ({ - cn: jest.fn((...classes) => classes.filter(Boolean).join(' ')), + cn: jest.fn((...inputs) => { + return inputs + .flat() + .filter(Boolean) + .join(' ') + .trim() + .replace(/\s+/g, ' '); + }), }));src/app/api/resume-optimizer/analyze/route.ts (1)
63-63: Consider removing or making the artificial delay configurableThe 1-second delay in basic analysis is artificial and may unnecessarily slow down the API when AI is unavailable.
- await new Promise((resolve) => setTimeout(resolve, 1000)); // Simulate processing + // Only add delay in development/testing environments + if (process.env.NODE_ENV === 'development') { + await new Promise((resolve) => setTimeout(resolve, 100)); + }src/app/api/portfolio/upload/route.ts (1)
121-139: Consider fetching upload configuration from backendThe upload configuration is hardcoded in the frontend. Consider fetching this from the backend to maintain consistency and allow dynamic configuration.
- const uploadInfo = { - success: true, - data: { - maxFileSize: 50 * 1024 * 1024, // 50MB - allowedTypes: { - images: [ - 'image/jpeg', - 'image/jpg', - 'image/png', - 'image/gif', - 'image/webp', - 'image/svg+xml', - ], - videos: ['video/mp4', 'video/webm', 'video/ogg', 'video/avi', 'video/mov', 'video/wmv'], - audio: ['audio/mp3', 'audio/wav', 'audio/ogg', 'audio/aac', 'audio/flac', 'audio/m4a'], - }, - uploadPath: `/uploads/portfolio/${userId}/`, - }, - }; - - return NextResponse.json(uploadInfo); + // Fetch configuration from backend + const response = await fetch(`${API_CONFIG.baseUrl}/api/portfolios/upload/config`, { + headers: { + Authorization: request.headers.get('authorization') || '', + }, + }); + + if (!response.ok) { + throw new Error('Failed to fetch upload configuration'); + } + + const config = await response.json(); + return NextResponse.json({ + success: true, + data: config, + });src/app/api/resume-optimizer/templates/recommendations/route.ts (2)
12-141: Move mock templates to database or configurationThe mock templates are hardcoded in the route file. Consider moving these to a database or a separate configuration file for better maintainability.
Create a separate file
src/data/mock-templates.ts:import type { IndustryTemplate } from '@/lib/types/templates'; export const mockTemplates: IndustryTemplate[] = [ // ... move all template data here ];Then import it:
-// Mock templates (same as in main route - in production, this would be from database) -const mockTemplates: IndustryTemplate[] = [ - // ... all template data -]; +import { mockTemplates } from '@/data/mock-templates'; +// TODO: Replace with database query in production
245-256: Consider POST endpoint for complex queriesParsing JSON from URL parameters has limitations:
- URL length restrictions (typically 2048 characters)
- Encoding issues with complex objects
- Security concerns with exposing user data in URLs
For complex queries with user profiles, consider using a POST endpoint instead:
// Add a new endpoint or modify the existing POST to handle both cases export async function POST(request: NextRequest) { const body = await request.json(); if (body.action === 'query') { // Handle complex queries here return handleComplexQuery(body); } // Existing POST logic for generating recommendations return generateRecommendations(body); }src/ai/genkit.ts (2)
115-127: Consider using the AIModel type for maintainability.The hardcoded list of Mistral models duplicates information already in the
AIModeltype. This could lead to maintenance issues if new models are added.Consider refactoring to derive this list from the
AIModeltype or use a more centralized configuration:-function isMistralModel(model: string): boolean { - const mistralModels = [ - 'mistral-tiny', - 'mistral-small', - 'mistral-medium', - 'mistral-large-latest', - 'mistral-small-latest', - 'open-mistral-7b', - 'open-mixtral-8x7b', - 'open-mixtral-8x22b', - ]; - return mistralModels.includes(model); -} +const MISTRAL_MODELS = [ + 'mistral-tiny', + 'mistral-small', + 'mistral-medium', + 'mistral-large-latest', + 'mistral-small-latest', + 'open-mistral-7b', + 'open-mixtral-8x7b', + 'open-mixtral-8x22b', +] as const; + +function isMistralModel(model: string): boolean { + return MISTRAL_MODELS.includes(model as any); +}
299-304: Consider improving type safety for error status extraction.The current approach uses type assertions and
anytype, which reduces type safety.Consider a more type-safe approach:
-const statusCode = - 'status' in error && typeof (error as any).status === 'number' - ? (error as any).status - : 500; +const statusCode = (() => { + if (error && typeof error === 'object' && 'status' in error) { + const status = (error as { status: unknown }).status; + return typeof status === 'number' ? status : 500; + } + return 500; +})();docs/features/15. Interview Questions Guide.md (1)
77-83: Add blank line before table for proper markdown formatting.The table should be surrounded by blank lines for proper markdown rendering.
### API Specification + | Endpoint | Method | Request | Response |SMART_UPLOAD_IMPLEMENTATION.md (1)
113-123: Add language specification to code block.The fenced code block should specify the language for proper syntax highlighting.
### 📁 File Structure -``` +```text src/components/resume-optimizer/upload/src/app/api/portfolio/[id]/route.ts (1)
17-17: Consider adding type validation for projects array.Using
z.any()for the projects array reduces type safety and validation.Consider defining a project schema for better validation:
- projects: z.array(z.any()).optional(), + projects: z.array(z.object({ + id: z.string().optional(), + title: z.string().min(1), + description: z.string().optional(), + // Add other project fields as needed + })).optional(),docs/tasks/resume_optimizer_update.md (2)
51-61: Fence TypeScript interfaces for correct Markdown rendering.Raw interface code is currently rendered as plain paragraph text.
Wrap it in a ```ts block so syntax highlighting & copy-paste work.-interface ScoreVisualization { +```ts +interface ScoreVisualization { overallScore: number; categoryScores: { ats: number; keywords: number; format: number; content: number; }; achievements: Achievement[]; nextMilestones: Milestone[]; -} +} +```Apply the same treatment to every interface in this document (e.g.,
EnhancedLandingPageProps,SmartUploadProps,AnalysisDashboardProps,ResponsiveLayoutProps,AchievementSystem).
285-296: Mark shell commands as code and specify shell flavour.Un-fenced commands lose formatting and can be copied with hidden Unicode bullets/emoji.
-# Setup enhanced component structure -mkdir -p src/components/resume-optimizer/{ - onboarding, - analysis, - editor, - mobile, - gamification -} - -# Install required dependencies -npm install framer-motion react-spring @radix-ui/react-* +```bash +# Setup enhanced component structure +mkdir -p src/components/resume-optimizer/{onboarding,analysis,editor,mobile,gamification} + +# Install required dependencies +npm install framer-motion react-spring "@radix-ui/react-*" +```Also remove the trailing space after the wildcard to avoid accidental glob expansion issues.
src/app/blog/employer-best-practices/page.tsx (1)
96-117: Enhanced content depth improves user value but consider content management strategy.The expanded content for modern recruitment strategies provides excellent depth and educational value. The comprehensive narrative covering AI-powered tools, skills-based assessments, and employer branding is well-structured and informative.
However, consider implementing a content management system or extracting this content into separate data files for better maintainability, especially given the pattern of content expansion across multiple blog pages mentioned in the AI summary.
| @@ -0,0 +1,19 @@ | |||
| { | |||
| "APIKEY": "your-secret-key", | |||
There was a problem hiding this comment.
Security concern: API keys in configuration file.
This configuration file contains API key placeholders that pose a security risk if real keys are accidentally committed. Consider:
- Adding this file to
.gitignore - Using environment variables for sensitive data
- Creating a
.claude-code-router/config.example.jsontemplate instead - Loading actual keys from environment variables at runtime
+# Add to .gitignore
+.claude-code-router/config.jsonConsider restructuring to use environment variables:
{
"APIKEY": "${CLAUDE_API_KEY}",
"api_key": "${GEMINI_API_KEY}"
}Also applies to: 9-9
🤖 Prompt for AI Agents
In .claude-code-router/config.json at line 2, the API key is hardcoded, which
risks exposing sensitive information. Remove the actual API key from this file,
add it to .gitignore to prevent commits, and create a config.example.json
template with placeholder values instead. Modify the application to load the API
key from environment variables at runtime, referencing variables like
CLAUDE_API_KEY and GEMINI_API_KEY as needed.
| "allow": [ | ||
| "Bash(grep:*)", | ||
| "Bash(rg:*)", | ||
| "Bash(npm run lint)", | ||
| "Bash(find:*)", | ||
| "Bash(npm test)", | ||
| "Bash(npm run build:*)", | ||
| "Bash(npx tsc:*)", | ||
| "Bash(npx eslint:*)", | ||
| "Bash(node:*)", | ||
| "Bash(npm run:*)", | ||
| "Bash(npm install:*)", | ||
| "Bash(ls:*)", | ||
| "Bash(echo:*)", | ||
| "Bash(mkdir:*)", | ||
| "Bash(npx biome check:*)", | ||
| "Bash(mv:*)", | ||
| "Bash(sed:*)", | ||
| "Bash(git checkout:*)", | ||
| "Bash(cp:*)", | ||
| "Bash(rm:*)", | ||
| "Bash(git commit:*)", | ||
| "Bash(git config:*)", | ||
| "Bash(git push:*)", | ||
| "Bash(npx biome format:*)" | ||
| "Bash", | ||
| "Read", | ||
| "Edit", | ||
| "Write", | ||
| "WebFetch", | ||
| "Grep", | ||
| "Glob", | ||
| "LS", | ||
| "MultiEdit", | ||
| "NotebookRead", | ||
| "NotebookEdit", | ||
| "TodoRead", | ||
| "TodoWrite", | ||
| "WebSearch", | ||
| "Bash(timeout:*)", | ||
| "mcp__sequential-thinking__sequentialthinking" | ||
| ], |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Review security implications of broadened permissions.
The shift from specific command permissions to broad categories significantly increases the AI agent's capabilities but also expands the attack surface.
Consider the security implications:
- "Bash" permission: Allows execution of any bash command, which could be risky
- "Write" + "Edit": Broad file system write access
- "WebFetch" + "WebSearch": External network access
Recommend documenting these changes and their security implications, especially since the learning indicates documenting breaking changes is important.
Also consider:
- Adding specific deny rules for sensitive directories/commands
- Implementing audit logging for AI agent actions
- Time-limited permissions for temporary elevated access
🏁 Script executed:
#!/bin/bash
# Check if there are any security guidelines or documentation about AI agent permissions
fd -e md -e txt | xargs grep -l -i "claude\|permissions\|security" | head -10Length of output: 786
Document and Harden Broadened AI Agent Permissions
The transition in .claude/settings.local.json from narrow, command-level whitelists to umbrella capabilities (e.g. “Bash”, “Write”/“Edit”, “WebFetch”/“WebSearch”) greatly expands the agent’s attack surface. I did not find any existing guidance in docs/DEVELOPMENT_GUIDE.md or CLAUDE.md covering these permissions, so we need to both document and lock them down.
Recommendations:
- Add a dedicated “AI Agent Permissions” section
– Place it in docs/DEVELOPMENT_GUIDE.md (or a new SECURITY.md).
– Enumerate each permission, its allowed scope, and associated risk. - Introduce explicit deny rules
– E.g., restrict access to sensitive paths (/etc, system binaries, SSH keys) or dangerous commands (rm -rf, port scanners). - Enable audit logging
– Log every bash invocation, file edit/write, HTTP fetch/search with timestamps, user context, and exit codes. - Scope broad permissions
– Where possible, replace global “Bash” with time- or command-limited variants (e.g."Bash(timeout:30s)"), and limit “Write”/“Edit” to specific directories via path globbing. - Review Notebook/Todo permissions
– Ensure NotebookRead/NotebookEdit and TodoRead/TodoWrite only apply to designated project folders to avoid accidental leaks.
Please implement these controls and update the documentation before merging.
🤖 Prompt for AI Agents
In .claude/settings.local.json lines 3 to 20, the AI agent permissions are too
broad and lack proper documentation and controls. To fix this, add a new "AI
Agent Permissions" section in docs/DEVELOPMENT_GUIDE.md or create a SECURITY.md
file that clearly enumerates each permission, its scope, and associated risks.
Implement explicit deny rules in the permissions to block access to sensitive
system paths and dangerous commands. Scope broad permissions by replacing global
"Bash" with time- or command-limited variants and restrict "Write"/"Edit"
permissions to specific directories using path glob patterns. Also, ensure
Notebook and Todo permissions are limited to designated project folders.
Finally, enable audit logging for all bash invocations, file edits/writes, and
web fetch/search actions with timestamps, user context, and exit codes.
| #!/usr/bin/env sh | ||
| . "$(dirname -- "$0")/_/husky.sh" | ||
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| echo "🔍 Running pre-commit checks..." | ||
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| # Run Biome checks and fixes | ||
| echo "📝 Running Biome format and lint checks..." | ||
| npm run check:fix | ||
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| # Run TypeScript type checking | ||
| echo "🔍 Running TypeScript type checking..." | ||
| npm run typecheck | ||
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| # Run tests for changed files | ||
| echo "🧪 Running tests..." | ||
| npm run test -- --passWithNoTests --findRelatedTests --bail | ||
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| echo "✅ Pre-commit checks completed successfully!" No newline at end of file |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling and consider performance optimizations.
The pre-commit hook structure is good, but it could be more robust:
#!/usr/bin/env sh
. "$(dirname -- "$0")/_/husky.sh"
echo "🔍 Running pre-commit checks..."
# Run Biome checks and fixes
echo "📝 Running Biome format and lint checks..."
-npm run check:fix
+npm run check:fix || exit 1
# Run TypeScript type checking
echo "🔍 Running TypeScript type checking..."
-npm run typecheck
+npm run typecheck || exit 1
# Run tests for changed files
echo "🧪 Running tests..."
-npm run test -- --passWithNoTests --findRelatedTests --bail
+npm run test -- --passWithNoTests --findRelatedTests --bail || exit 1
echo "✅ Pre-commit checks completed successfully!"Additional considerations:
- Parallel execution: Consider running independent checks in parallel for better performance
- Skip options: Add environment variable to skip certain checks during development
- Staged files only: Ensure Biome only processes staged files to avoid formatting unrelated changes
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| #!/usr/bin/env sh | |
| . "$(dirname -- "$0")/_/husky.sh" | |
| echo "🔍 Running pre-commit checks..." | |
| # Run Biome checks and fixes | |
| echo "📝 Running Biome format and lint checks..." | |
| npm run check:fix | |
| # Run TypeScript type checking | |
| echo "🔍 Running TypeScript type checking..." | |
| npm run typecheck | |
| # Run tests for changed files | |
| echo "🧪 Running tests..." | |
| npm run test -- --passWithNoTests --findRelatedTests --bail | |
| echo "✅ Pre-commit checks completed successfully!" | |
| #!/usr/bin/env sh | |
| . "$(dirname -- "$0")/_/husky.sh" | |
| echo "🔍 Running pre-commit checks..." | |
| # Run Biome checks and fixes | |
| echo "📝 Running Biome format and lint checks..." | |
| npm run check:fix || exit 1 | |
| # Run TypeScript type checking | |
| echo "🔍 Running TypeScript type checking..." | |
| npm run typecheck || exit 1 | |
| # Run tests for changed files | |
| echo "🧪 Running tests..." | |
| npm run test -- --passWithNoTests --findRelatedTests --bail || exit 1 | |
| echo "✅ Pre-commit checks completed successfully!" |
🤖 Prompt for AI Agents
In .husky/pre-commit lines 1 to 18, improve robustness by adding error handling
after each command to stop the hook on failure. Implement parallel execution for
independent checks like Biome formatting and TypeScript type checking to enhance
performance. Introduce environment variables to allow skipping specific checks
during development. Modify the Biome command to only process staged files by
detecting them via git, preventing formatting unrelated changes.
| **Add rules to help the model understand your coding preferences, including preferred frameworks, coding styles, and other conventions.** | ||
| **Note: This file only applies to the current project, with each file limited to 10,000 characters. If you do not need to commit this file to a remote Git repository, please add it to .gitignore.** | ||
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| Assume there are a auto-compile, you mustn't run npm command or node command after modifying files, since it will disrupt the instance. | ||
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|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Rule file is missing required YAML front-matter and has grammatical issues
Rules under .lingma/rules/ follow the same structural requirements as .cursor/rules/*.mdc (YAML front-matter with description, globs, alwaysApply, followed by the Markdown body).
Additionally:
- “Assume there are a auto-compile” → “Assume there is an auto-compile process”.
- “you mustn't run npm command or node command” → “you must not run
npmornodecommands”.
Refactor to comply with the rule-file spec and fix wording:
+---
+description: Project-specific conventions and build constraints
+globs:
+ - "**/*"
+alwaysApply: true
+---
+
**Add rules to help the model understand your coding preferences, including preferred frameworks, coding styles, and other conventions.**
**Note: This file only applies to the current project, with each file limited to 10,000 characters. If you do not need to commit this file to a remote Git repository, please add it to .gitignore.**
-Assume there are a auto-compile, you mustn't run npm command or node command after modifying files, since it will disrupt the instance.
+Assume there is an auto-compile process; do **not** run `npm` or `node` commands after modifying files, as this will disrupt the instance.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| **Add rules to help the model understand your coding preferences, including preferred frameworks, coding styles, and other conventions.** | |
| **Note: This file only applies to the current project, with each file limited to 10,000 characters. If you do not need to commit this file to a remote Git repository, please add it to .gitignore.** | |
| Assume there are a auto-compile, you mustn't run npm command or node command after modifying files, since it will disrupt the instance. | |
| --- | |
| description: Project-specific conventions and build constraints | |
| globs: | |
| - "**/*" | |
| alwaysApply: true | |
| --- | |
| **Add rules to help the model understand your coding preferences, including preferred frameworks, coding styles, and other conventions.** | |
| **Note: This file only applies to the current project, with each file limited to 10,000 characters. If you do not need to commit this file to a remote Git repository, please add it to .gitignore.** | |
| Assume there is an auto-compile process; do **not** run `npm` or `node` commands after modifying files, as this will disrupt the instance. |
🤖 Prompt for AI Agents
In .lingma/rules/project_rule.md lines 1 to 5, the file lacks the required YAML
front-matter including fields like description, globs, and alwaysApply, and
contains grammatical errors. Add the proper YAML front-matter at the top of the
file with these fields, then correct the text to say "Assume there is an
auto-compile process" and "you must not run `npm` or `node` commands" to fix the
grammar and clarity issues.
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| ## Key Features | ||
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| * **Contact Identification:** Integrates with LinkedIn to help users find employees at their target companies. |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify LinkedIn API compliance and add privacy considerations.
The LinkedIn integration raises important legal and privacy concerns that should be addressed in the specification.
Consider adding a section addressing:
- User consent requirements for LinkedIn data access
- Data retention and privacy policies
- Compliance with LinkedIn's Developer Agreement
- Rate limiting strategies to avoid API violations
🌐 Web query:
What are the current LinkedIn API terms of service and rate limits for accessing employee data?
💡 Result:
Access to LinkedIn’s employee data through the official API is highly restricted and approval-based, governed by strict terms of service and subject to specific rate limits depending on your partner status and application type. Public or unauthorized use, including scraping, violates the platform’s terms.
Current LinkedIn API Terms of Service (as of July 2025):
- Access Restriction: LinkedIn’s APIs for employee or profile data are not publicly available. To use these APIs, your organization must be an approved LinkedIn Partner, typically through one of these programs: Marketing Developer, Sales Navigator Solutions, Talent Solutions, or LinkedIn Learning Partner[1][4].
- Partner Programs: Each partnership track enables access to only specific data and endpoints, all with stringent requirements. Individual developers or non-partners cannot access employee or detailed profile data using LinkedIn’s API[1][4].
- Approval Requirements: Approval rates are low (<10%), and applicants must demonstrate a strong product fit, sizable user base, and clear value for LinkedIn users, plus strict compliance with data privacy obligations[1].
- Permitted Uses: Accessed member (employee) data must be displayed only inside your application and can’t be transferred, exported, or combined with other data sets. Usage for purposes such as sales prospecting, recruiting, or ad targeting is strictly forbidden unless you qualify under very specific Enterprise Partner APIs. Most profile data can be stored only up to 24 hours, and social activity up to 48 hours[7].
- Authentication: All API access is managed via secure OAuth 2.0 flows, requiring explicit user consent[4].
API Rate Limits for Employee/Profile Data:
- Dynamic Rate Limits: Official rate limits for each endpoint are not public and vary depending on your API use case and partner level[2]. You can view your allowed usage limits in the LinkedIn Developer Portal's Analytics Dashboard, but only for endpoints you’ve used at least once that day[2][9].
- Types of Limits:
- Application-wide: Number of daily API calls allowed per app.
- Per-member: Number of daily API calls per LinkedIn member token.
- Common Triggers: If you exceed your permitted rate (often referenced in developer documentation or seen as a "429 Too Many Requests" HTTP response), access is temporarily blocked until limits reset at midnight UTC[2][5][9].
- Example Limits: For general integrations—not employee data APIs—informational articles note limits such as 80–1,000 profile views/day and 100–200 connection requests/week, but these do not apply to employee data unless you are an approved partner[5][9].
| API Type | Access/Open To | Data Allowed | Rate Limit Visibility | Data Storage Limit |
|---|---|---|---|---|
| Employee/Profile Data API | Partners only | Only approved fields | Developer Portal only | 24–48 hours |
| Marketing API | Marketing partners | Page/Post/Engagement, subset | Developer Portal only | 24–48 hours |
Important Context and Risks:
- Using unofficial APIs, browser scrapers, or third-party services to collect employee data is not allowed and is a breach of LinkedIn’s Terms[4][7]. Such actions risk both legal exposure and platform bans.
- All legitimate use cases involving employee data via the API are closely audited by LinkedIn, and compliance with privacy regulations (e.g., GDPR) is mandatory[1][7].
- Rate limits and access may be upgraded for larger enterprise partners, but specifics are only given upon onboarding and contract negotiation[2][6].
Summary:
Only LinkedIn-approved partners may access employee or profile data via the official API, under strict terms, privacy policies, and dynamic, endpoint-specific rate limits. Usage outside these boundaries (including any scraping) is a violation of LinkedIn’s policies and risks legal and technical penalties[1][4][7].
Citations:
- 1: https://www.unipile.com/linkedin-api-a-comprehensive-guide-to-integration/
- 2: https://learn.microsoft.com/en-us/linkedin/shared/api-guide/concepts/rate-limits
- 3: https://saleleads.ai/blog/linkedin-api-free
- 4: https://evaboot.com/blog/what-is-linkedin-api
- 5: https://evaboot.com/blog/linkedin-limits
- 6: https://www.oktopost.com/glossary/what-is-linkedin-marketing-api
- 7: https://learn.microsoft.com/en-us/linkedin/marketing/restricted-use-cases?view=li-lms-2025-04
- 8: https://www.leadloft.com/blog/linkedin-limits
- 9: https://www.liseller.com/linkedin-growth-blog/how-to-handle-linkedin-api-rate-limits
- 10: https://learn.microsoft.com/en-us/linkedin/marketing/community-management/community-management-api-migration-guide?view=li-lms-2025-07
Add a LinkedIn API Compliance & Privacy Section
Based on LinkedIn’s July 2025 terms, the Networking Assistant’s “Contact Identification” feature must explicitly address the following before any implementation:
-
Partner-only access
• Employee/profile APIs require approval as a LinkedIn Partner (e.g., Marketing Developer, Sales Navigator, Talent Solutions).
• Public or scraping approaches violate LinkedIn’s Terms of Service. -
OAuth 2.0 & user consent
• All data access must flow through LinkedIn’s secure OAuth 2.0.
• End users must explicitly authorize the scope of profile data your app requests. -
Data retention & usage limits
• Permitted to store profile fields for ≤24 hours, social activity for ≤48 hours.
• Prohibit exporting or combining data beyond LinkedIn’s approved display context. -
Rate limiting
• Dynamic, endpoint-specific limits visible in your Developer Portal.
• Exceeding allowance returns HTTP 429 (“Too Many Requests”), resets at midnight UTC. -
Legal & privacy compliance
• Must comply with LinkedIn’s Developer Agreement and privacy policies (GDPR, CCPA, etc.).
• Outline user data handling, deletion workflows, and breach notification procedures.
Please update the spec to include these compliance, consent, retention, and rate-limiting considerations.
🤖 Prompt for AI Agents
In docs/features/19.Networking-Assistant.md at line 9, add a new section titled
"LinkedIn API Compliance & Privacy" after the "Contact Identification" feature
description. This section should explicitly cover partner-only access
requirements, OAuth 2.0 user consent protocols, data retention and usage limits,
rate limiting rules, and legal and privacy compliance obligations including GDPR
and CCPA. Ensure the section clearly states the need for LinkedIn Partner
approval, secure OAuth flows, time-limited data storage, handling of HTTP 429
errors, and user data management policies.
| <AIResumeVideoGenerator | ||
| resumeText={demoResumeText} | ||
| onVideoGenerated={(videoUrl) => { | ||
| console.log('Demo video generated:', videoUrl); | ||
| }} | ||
| /> | ||
| </TabsContent> |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for video generation
The AIResumeVideoGenerator component usage lacks error handling. Consider adding error states and user feedback.
+ const [generationError, setGenerationError] = useState<string | null>(null);
+
{/* Video Generator Component */}
<AIResumeVideoGenerator
resumeText={demoResumeText}
onVideoGenerated={(videoUrl) => {
- console.log('Demo video generated:', videoUrl);
+ setGenerationError(null);
+ // Handle successful generation
}}
+ onError={(error) => {
+ setGenerationError(error.message || 'Failed to generate video');
+ }}
/>
+ {generationError && (
+ <Alert variant="destructive">
+ <AlertDescription>{generationError}</AlertDescription>
+ </Alert>
+ )}Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In src/app/demo/ai-video-generator/page.tsx around lines 335 to 341, the
AIResumeVideoGenerator component usage does not handle errors during video
generation. Modify the onVideoGenerated callback or add a new onError callback
to capture any errors, update the component state to reflect error conditions,
and display appropriate user feedback messages or UI elements to inform the user
of failures.
| <AIResumeVideoGenerator | ||
| resumeText={demoResumeText} | ||
| onVideoGenerated={(videoUrl) => { | ||
| console.log('Demo video generated:', videoUrl); |
There was a problem hiding this comment.
Remove console.log from production code
Console logs should be removed or replaced with proper logging in production.
- console.log('Demo video generated:', videoUrl);
+ // Handle video generation completion
+ if (onVideoGenerated) {
+ onVideoGenerated(videoUrl);
+ }Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In src/app/demo/ai-video-generator/page.tsx at line 338, remove the console.log
statement that outputs the generated video URL to avoid using console logs in
production code. Replace it with a proper logging mechanism if necessary, or
simply remove it if logging is not required.
| // Generate demo data | ||
| const generateDemoData = async () => { | ||
| setIsGeneratingData(true); | ||
| try { | ||
| // Generate multiple demo sessions with realistic data | ||
| const demoSessions = [ | ||
| { | ||
| userId: 'demo_user_1', | ||
| targetRole: 'Software Engineer', | ||
| targetIndustry: 'technology', | ||
| beforeAnalysis: { | ||
| overallScore: 65, | ||
| atsScore: 70, | ||
| keywordScore: 60, | ||
| grammarScore: 85, | ||
| formatScore: 75, | ||
| quantitativeScore: 45, | ||
| strengthsCount: 3, | ||
| weaknessesCount: 5, | ||
| suggestionsCount: 8, | ||
| wordCount: 350, | ||
| sectionCount: 5, | ||
| timestamp: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000).toISOString(), | ||
| } as ResumeAnalysisSnapshot, | ||
| afterAnalysis: { | ||
| overallScore: 85, | ||
| atsScore: 90, | ||
| keywordScore: 88, | ||
| grammarScore: 90, | ||
| formatScore: 85, | ||
| quantitativeScore: 78, | ||
| strengthsCount: 6, | ||
| weaknessesCount: 2, | ||
| suggestionsCount: 3, | ||
| wordCount: 420, | ||
| sectionCount: 6, | ||
| timestamp: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000 + 3600000).toISOString(), | ||
| } as ResumeAnalysisSnapshot, | ||
| suggestionsTotal: 8, | ||
| sessionType: 'ai_assisted' as const, | ||
| }, | ||
| { | ||
| userId: 'demo_user_1', | ||
| targetRole: 'Frontend Developer', | ||
| targetIndustry: 'technology', | ||
| beforeAnalysis: { | ||
| overallScore: 72, | ||
| atsScore: 65, | ||
| keywordScore: 78, | ||
| grammarScore: 88, | ||
| formatScore: 70, | ||
| quantitativeScore: 55, | ||
| strengthsCount: 4, | ||
| weaknessesCount: 4, | ||
| suggestionsCount: 6, | ||
| wordCount: 380, | ||
| sectionCount: 5, | ||
| timestamp: new Date(Date.now() - 5 * 24 * 60 * 60 * 1000).toISOString(), | ||
| } as ResumeAnalysisSnapshot, | ||
| afterAnalysis: { | ||
| overallScore: 88, | ||
| atsScore: 85, | ||
| keywordScore: 92, | ||
| grammarScore: 92, | ||
| formatScore: 88, | ||
| quantitativeScore: 75, | ||
| strengthsCount: 7, | ||
| weaknessesCount: 2, | ||
| suggestionsCount: 2, | ||
| wordCount: 410, | ||
| sectionCount: 6, | ||
| timestamp: new Date(Date.now() - 5 * 24 * 60 * 60 * 1000 + 2700000).toISOString(), | ||
| } as ResumeAnalysisSnapshot, | ||
| suggestionsTotal: 6, | ||
| sessionType: 'collaborative' as const, | ||
| }, | ||
| { | ||
| userId: 'demo_user_1', | ||
| targetRole: 'Product Manager', | ||
| targetIndustry: 'technology', | ||
| beforeAnalysis: { | ||
| overallScore: 58, | ||
| atsScore: 62, | ||
| keywordScore: 55, | ||
| grammarScore: 82, | ||
| formatScore: 68, | ||
| quantitativeScore: 40, | ||
| strengthsCount: 2, | ||
| weaknessesCount: 6, | ||
| suggestionsCount: 10, | ||
| wordCount: 320, | ||
| sectionCount: 4, | ||
| timestamp: new Date(Date.now() - 3 * 24 * 60 * 60 * 1000).toISOString(), | ||
| } as ResumeAnalysisSnapshot, | ||
| suggestionsTotal: 10, | ||
| sessionType: 'manual' as const, | ||
| }, | ||
| { | ||
| userId: 'demo_user_2', | ||
| targetRole: 'Data Scientist', | ||
| targetIndustry: 'technology', | ||
| beforeAnalysis: { | ||
| overallScore: 75, | ||
| atsScore: 80, | ||
| keywordScore: 85, | ||
| grammarScore: 90, | ||
| formatScore: 78, | ||
| quantitativeScore: 60, | ||
| strengthsCount: 5, | ||
| weaknessesCount: 3, | ||
| suggestionsCount: 5, | ||
| wordCount: 450, | ||
| sectionCount: 6, | ||
| timestamp: new Date(Date.now() - 2 * 24 * 60 * 60 * 1000).toISOString(), | ||
| } as ResumeAnalysisSnapshot, | ||
| afterAnalysis: { | ||
| overallScore: 92, | ||
| atsScore: 95, | ||
| keywordScore: 98, | ||
| grammarScore: 95, | ||
| formatScore: 90, | ||
| quantitativeScore: 88, | ||
| strengthsCount: 8, | ||
| weaknessesCount: 1, | ||
| suggestionsCount: 1, | ||
| wordCount: 480, | ||
| sectionCount: 7, | ||
| timestamp: new Date(Date.now() - 2 * 24 * 60 * 60 * 1000 + 4500000).toISOString(), | ||
| } as ResumeAnalysisSnapshot, | ||
| suggestionsTotal: 5, | ||
| sessionType: 'ai_assisted' as const, | ||
| }, | ||
| ]; | ||
|
|
||
| // Create sessions in the analytics service | ||
| for (const session of demoSessions) { | ||
| const sessionId = await resumeAnalyticsService.trackOptimizationSession(session); | ||
|
|
||
| // Complete the session if it has after analysis | ||
| if (session.afterAnalysis) { | ||
| await resumeAnalyticsService.updateSession(sessionId, { | ||
| afterAnalysis: session.afterAnalysis, | ||
| suggestionsApplied: Math.floor(Math.random() * session.suggestionsTotal) + 1, | ||
| status: 'completed', | ||
| timeSpent: Math.floor(Math.random() * 5400) + 1800, // 30 minutes to 2 hours | ||
| }); | ||
| } | ||
| } | ||
|
|
||
| // Generate a prediction for current session | ||
| const currentAnalysis: ResumeAnalysisSnapshot = { | ||
| overallScore: 68, | ||
| atsScore: 72, | ||
| keywordScore: 65, | ||
| grammarScore: 85, | ||
| formatScore: 70, | ||
| quantitativeScore: 50, | ||
| strengthsCount: 3, | ||
| weaknessesCount: 4, | ||
| suggestionsCount: 7, | ||
| wordCount: 365, | ||
| sectionCount: 5, | ||
| timestamp: new Date().toISOString(), | ||
| }; | ||
|
|
||
| const prediction = await resumeAnalyticsService.predictImprovement( | ||
| currentAnalysis, | ||
| 'Full Stack Developer', | ||
| 'technology' | ||
| ); | ||
|
|
||
| setPrediction(prediction); | ||
| setDataGenerated(true); | ||
| } catch (error) { | ||
| console.error('Failed to generate demo data:', error); | ||
| } finally { | ||
| setIsGeneratingData(false); | ||
| } | ||
| }; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add cleanup for async operations to prevent memory leaks.
The component performs multiple async operations but doesn't handle cleanup if the component unmounts during data generation.
Add an abort controller for cleanup:
+import { useEffect, useState, useRef } from 'react';
export default function AnalyticsDashboardDemo() {
+ const abortControllerRef = useRef<AbortController | null>(null);
const generateDemoData = async () => {
+ // Abort any ongoing generation
+ abortControllerRef.current?.abort();
+ abortControllerRef.current = new AbortController();
+
setIsGeneratingData(true);
try {
// ... session generation code ...
+ // Check if aborted before making service calls
+ if (abortControllerRef.current.signal.aborted) return;
const prediction = await resumeAnalyticsService.predictImprovement(
currentAnalysis,
'Full Stack Developer',
'technology'
);
+ if (!abortControllerRef.current.signal.aborted) {
setPrediction(prediction);
setDataGenerated(true);
+ }
} catch (error) {
+ if (error.name !== 'AbortError') {
console.error('Failed to generate demo data:', error);
+ }
} finally {
setIsGeneratingData(false);
}
};
+ // Cleanup on unmount
+ useEffect(() => {
+ return () => {
+ abortControllerRef.current?.abort();
+ };
+ }, []);🤖 Prompt for AI Agents
In src/app/demo/analytics-dashboard/page.tsx around lines 27 to 205, the
generateDemoData function performs multiple async operations without cleanup,
risking memory leaks if the component unmounts mid-operation. Fix this by
creating an AbortController before starting async tasks, passing its signal to
any cancellable async calls if supported, and checking the signal's aborted
state before setting state or continuing. Also, implement a cleanup function in
the component to call abort on the controller when unmounting, ensuring all
async operations are properly cancelled to prevent state updates on unmounted
components.
| } catch (error) { | ||
| console.error('Failed to generate demo data:', error); | ||
| } finally { | ||
| setIsGeneratingData(false); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve error handling and user feedback.
Errors are only logged to console with no user feedback. Users won't know if data generation fails.
Add error state and display:
export default function AnalyticsDashboardDemo() {
const [isGeneratingData, setIsGeneratingData] = useState(false);
const [dataGenerated, setDataGenerated] = useState(false);
+ const [error, setError] = useState<string | null>(null);
const generateDemoData = async () => {
setIsGeneratingData(true);
+ setError(null);
try {
// ... existing code ...
} catch (error) {
console.error('Failed to generate demo data:', error);
+ setError('Failed to generate demo data. Please try again.');
} finally {
setIsGeneratingData(false);
}
};Then display the error in the UI:
+{error && (
+ <div className="alert alert-error mb-6">
+ <svg className="h-6 w-6 shrink-0 stroke-current" fill="none" viewBox="0 0 24 24">
+ <path strokeLinecap="round" strokeLinejoin="round" strokeWidth="2" d="M10 14l2-2m0 0l2-2m-2 2l-2-2m2 2l2 2m7-2a9 9 0 11-18 0 9 9 0 0118 0z" />
+ </svg>
+ <span>{error}</span>
+ </div>
+)}Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In src/app/demo/analytics-dashboard/page.tsx around lines 200 to 204, the catch
block only logs errors to the console without informing the user. To fix this,
add a new error state variable to track errors during data generation, update
this state inside the catch block with the error message, and modify the UI to
conditionally display this error message so users receive clear feedback when
data generation fails.
| // Auto-generate demo data on first load | ||
| useEffect(() => { | ||
| if (!dataGenerated) { | ||
| generateDemoData(); | ||
| } | ||
| }, [dataGenerated, generateDemoData]); | ||
|
|
There was a problem hiding this comment.
Fix infinite re-render loop in useEffect.
The generateDemoData function is recreated on every render, causing the useEffect to run infinitely due to the dependency array.
Either memoize the function or restructure the logic:
+import { useEffect, useState, useCallback } from 'react';
// Generate demo data
- const generateDemoData = async () => {
+ const generateDemoData = useCallback(async () => {
setIsGeneratingData(true);
try {
// ... existing code ...
} finally {
setIsGeneratingData(false);
}
- };
+ }, []);Or remove it from dependencies and disable the lint rule:
useEffect(() => {
if (!dataGenerated) {
generateDemoData();
}
- }, [dataGenerated, generateDemoData]);
+ // eslint-disable-next-line react-hooks/exhaustive-deps
+ }, [dataGenerated]);Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In src/app/demo/analytics-dashboard/page.tsx around lines 207 to 213, the
useEffect hook causes an infinite re-render loop because generateDemoData is
recreated on every render and included in the dependency array. To fix this,
memoize generateDemoData using useCallback so it remains stable between renders,
or remove it from the dependency array and disable the lint rule for that line
if memoization is not feasible.
| - name: Run Biome checks | ||
| run: npm run check | ||
|
|
||
| - name: TypeScript type checking | ||
| run: npm run typecheck | ||
|
|
||
| - name: Upload Biome results | ||
| if: failure() | ||
| uses: actions/upload-artifact@v4 | ||
| with: | ||
| name: biome-results | ||
| path: biome-report.json |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify Biome report generation
The workflow uploads biome-report.json on failure, but the Biome check command doesn't specify an output file. Ensure that npm run check is configured to generate this report file.
🏁 Script executed:
#!/bin/bash
# Check if the check script in package.json generates a report file
cat package.json | jq -r '.scripts.check // empty'
# Look for Biome configuration that might specify report output
fd -e json -e js -e ts "biome" --exec grep -l "report\|output" {} \;Length of output: 138
Missing Biome report generation
The workflow’s “Upload Biome results” step references biome-report.json, but npm run check only invokes biome check . (which writes to stdout) and doesn’t produce that file. You’ll need to either generate the JSON report or remove/update the artifact upload.
• Location
.github/workflows/ci.yml, lines 31–42
• Suggested fixes
- Modify your check script to emit a JSON report file, e.g. in
package.json:"scripts": {
-
"check": "biome check .",
-
}
"check": "biome check . --format json --report-file biome-report.json", …2. Or update the workflow step to pass those flags directly: ```yaml - name: Run Biome checks
-
run: npm run check
-
run: | -
npm run check -- --format json --report-file=biome-report.json3. If you don’t need the artifact, remove the “Upload Biome results” step.
🤖 Prompt for AI Agents
In .github/workflows/ci.yml lines 31 to 42, the "Upload Biome results" step
tries to upload biome-report.json which is not generated by the current "Run
Biome checks" step. Fix this by modifying the "Run Biome checks" step to run
biome with flags to output a JSON report file named biome-report.json, or update
the npm script to generate this file. Alternatively, if the report is not
needed, remove the "Upload Biome results" step entirely.
| - name: Start application for testing | ||
| run: | | ||
| npm start & | ||
| sleep 30 | ||
| env: | ||
| PORT: 3000 | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Replace fixed sleep with health check
Using a fixed 30-second sleep is fragile and may fail if the app takes longer to start. Consider implementing a health check instead.
- name: Start application for testing
run: |
- npm start &
- sleep 30
+ npm start &
+ APP_PID=$!
+ echo "Waiting for app to be ready..."
+ for i in {1..60}; do
+ if curl -f http://localhost:3000/api/health 2>/dev/null; then
+ echo "App is ready!"
+ break
+ fi
+ if [ $i -eq 60 ]; then
+ echo "App failed to start within 60 seconds"
+ kill $APP_PID 2>/dev/null || true
+ exit 1
+ fi
+ sleep 1
+ done
env:
PORT: 3000📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| - name: Start application for testing | |
| run: | | |
| npm start & | |
| sleep 30 | |
| env: | |
| PORT: 3000 | |
| - name: Start application for testing | |
| run: | | |
| npm start & | |
| APP_PID=$! | |
| echo "Waiting for app to be ready..." | |
| for i in {1..60}; do | |
| if curl -f http://localhost:3000/api/health 2>/dev/null; then | |
| echo "App is ready!" | |
| break | |
| fi | |
| if [ $i -eq 60 ]; then | |
| echo "App failed to start within 60 seconds" | |
| kill $APP_PID 2>/dev/null || true | |
| exit 1 | |
| fi | |
| sleep 1 | |
| done | |
| env: | |
| PORT: 3000 |
🤖 Prompt for AI Agents
In .github/workflows/ci.yml around lines 119 to 125, replace the fixed 30-second
sleep after starting the application with a health check loop that repeatedly
attempts to connect to the app's health endpoint until it responds successfully
or a timeout is reached. This ensures the workflow waits dynamically for the app
to be ready instead of relying on a fixed delay.
| path: | | ||
| .next/ | ||
| out/ |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify necessity of both build directories
The workflow uploads both .next/ and out/ directories. Verify if both are needed, as this could duplicate artifacts and increase storage usage.
🏁 Script executed:
#!/bin/bash
# Check build script configuration
cat package.json | jq -r '.scripts.build // empty'
# Check for Next.js static export configuration
fd -e js -e ts -e json "next.config" --exec grep -l "output.*export\|exportPathMap" {} \;Length of output: 156
🏁 Script executed:
#!/bin/bash
set -e
# Check for static export scripts in package.json
echo "Checking package.json for export scripts..."
jq -r '.scripts | to_entries[] | "\(.key): \(.value)"' package.json | grep -i export || echo "→ No export script found"
# Search for explicit "next export" invocation anywhere in the repo
echo -e "\nSearching for 'next export' in codebase..."
rg --ignore-case "next export" -n .
# Inspect CI workflow for any steps referencing 'out/' besides artifact upload
echo -e "\nInspecting .github/workflows/ci.yml for 'out/' usages..."
rg "out/" -n .github/workflows/ci.ymlLength of output: 396
🏁 Script executed:
#!/bin/bash
set -e
echo "=== CI Workflow snippet (lines 130–160) ==="
sed -n '130,160p' .github/workflows/ci.ymlLength of output: 931
🏁 Script executed:
#!/bin/bash
set -e
echo "=== Inspect CI workflow around build step (lines 80–130) ==="
sed -n '80,130p' .github/workflows/ci.ymlLength of output: 1470
Remove redundant out/ directory from artifact upload
The CI’s Upload build artifacts step is currently uploading both .next/ and out/, but the project only runs npm run build (which invokes next build), and there’s no next export or static-export step configured. The out/ folder isn’t ever generated, so it should be removed to avoid uploading an empty directory.
• .github/workflows/ci.yml (Build & Performance job – Upload build artifacts step, ~lines 139–141):
- name: Upload build artifacts
uses: actions/upload-artifact@v4
with:
- path: |
- .next/
- out/
+ path: .next/📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| path: | | |
| .next/ | |
| out/ | |
| - name: Upload build artifacts | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| path: .next/ |
🤖 Prompt for AI Agents
In .github/workflows/ci.yml around lines 139 to 141, remove the 'out/' directory
from the artifact upload paths because the project does not generate this folder
during the build. Keep only the '.next/' directory in the upload step to avoid
uploading an empty directory.
| ### Key Metrics & Tracking: | ||
| | Metric | Tracking Method | Target | | ||
| |--------|-----------------|--------| | ||
| | Active Users | Mixpanel event `interview_guide_accessed` | 40% of job seekers | | ||
| | Content Satisfaction | In-app survey (5-star scale) | ≥4.6 avg rating | | ||
| | Session Duration | Mixpanel session timing | ≥10 mins | | ||
| | Success Rate Improvement | User cohort analysis | +10% for mock users | | ||
|
|
There was a problem hiding this comment.
Fix markdown formatting and clarify success rate metric.
Add blank lines around the table for proper markdown formatting and clarify what "mock users" means.
### Key Metrics & Tracking:
+
| Metric | Tracking Method | Target |
|--------|-----------------|--------|
| Active Users | Mixpanel event `interview_guide_accessed` | 40% of job seekers |
| Content Satisfaction | In-app survey (5-star scale) | ≥4.6 avg rating |
| Session Duration | Mixpanel session timing | ≥10 mins |
-| Success Rate Improvement | User cohort analysis | +10% for mock users |
+| Success Rate Improvement | User cohort analysis | +10% for users completing practice interviews |
+📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| ### Key Metrics & Tracking: | |
| | Metric | Tracking Method | Target | | |
| |--------|-----------------|--------| | |
| | Active Users | Mixpanel event `interview_guide_accessed` | 40% of job seekers | | |
| | Content Satisfaction | In-app survey (5-star scale) | ≥4.6 avg rating | | |
| | Session Duration | Mixpanel session timing | ≥10 mins | | |
| | Success Rate Improvement | User cohort analysis | +10% for mock users | | |
| ### Key Metrics & Tracking: | |
| | Metric | Tracking Method | Target | | |
| |--------|-----------------|--------| | |
| | Active Users | Mixpanel event `interview_guide_accessed` | 40% of job seekers | | |
| | Content Satisfaction | In-app survey (5-star scale) | ≥4.6 avg rating | | |
| | Session Duration | Mixpanel session timing | ≥10 mins | | |
| | Success Rate Improvement | User cohort analysis | +10% for users completing practice interviews | | |
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
26-26: Trailing punctuation in heading
Punctuation: ':'
(MD026, no-trailing-punctuation)
27-27: Tables should be surrounded by blank lines
(MD058, blanks-around-tables)
🤖 Prompt for AI Agents
In docs/features/14. Interview Skills Guide.md around lines 26 to 33, add a
blank line before and after the markdown table to ensure proper rendering. Also,
update the "Success Rate Improvement" metric description to clarify what "mock
users" refers to, for example by specifying "users who completed mock
interviews" or a similar clear explanation.
| **Technical Requirements:** | ||
| - Lazy loading for video content | ||
| - Client-side caching for articles | ||
| - User interaction analytics for each content type | ||
| - **Pre-interview Prep**: Company research, position analysis, common question preparation, dress code/etiquette. | ||
| - **Interview Techniques**: Behavioral interviews, technical interviews, situational interviews, STAR method, questioning techniques, body language. | ||
| - **Post-interview Follow-up**: Thank you letters, progress inquiries, self-reflection and summary. | ||
| - **Industry-specific Interview Characteristics**: Interview techniques tailored to different industries (IT, finance, marketing, etc.). | ||
| - **Common Interview Questions**: Sample answers and analysis for frequently asked interview questions. | ||
|
|
There was a problem hiding this comment.
Fix list indentation for technical requirements.
The nested list items have incorrect indentation (3 spaces instead of 2).
**Technical Requirements:**
- Lazy loading for video content
- Client-side caching for articles
- User interaction analytics for each content type
- - **Pre-interview Prep**: Company research, position analysis, common question preparation, dress code/etiquette.
- - **Interview Techniques**: Behavioral interviews, technical interviews, situational interviews, STAR method, questioning techniques, body language.
- - **Post-interview Follow-up**: Thank you letters, progress inquiries, self-reflection and summary.
- - **Industry-specific Interview Characteristics**: Interview techniques tailored to different industries (IT, finance, marketing, etc.).
- - **Common Interview Questions**: Sample answers and analysis for frequently asked interview questions.
+ - **Pre-interview Prep**: Company research, position analysis, common question preparation, dress code/etiquette.
+ - **Interview Techniques**: Behavioral interviews, technical interviews, situational interviews, STAR method, questioning techniques, body language.
+ - **Post-interview Follow-up**: Thank you letters, progress inquiries, self-reflection and summary.
+ - **Industry-specific Interview Characteristics**: Interview techniques tailored to different industries (IT, finance, marketing, etc.).
+ - **Common Interview Questions**: Sample answers and analysis for frequently asked interview questions.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| **Technical Requirements:** | |
| - Lazy loading for video content | |
| - Client-side caching for articles | |
| - User interaction analytics for each content type | |
| - **Pre-interview Prep**: Company research, position analysis, common question preparation, dress code/etiquette. | |
| - **Interview Techniques**: Behavioral interviews, technical interviews, situational interviews, STAR method, questioning techniques, body language. | |
| - **Post-interview Follow-up**: Thank you letters, progress inquiries, self-reflection and summary. | |
| - **Industry-specific Interview Characteristics**: Interview techniques tailored to different industries (IT, finance, marketing, etc.). | |
| - **Common Interview Questions**: Sample answers and analysis for frequently asked interview questions. | |
| **Technical Requirements:** | |
| - Lazy loading for video content | |
| - Client-side caching for articles | |
| - User interaction analytics for each content type | |
| - **Pre-interview Prep**: Company research, position analysis, common question preparation, dress code/etiquette. | |
| - **Interview Techniques**: Behavioral interviews, technical interviews, situational interviews, STAR method, questioning techniques, body language. | |
| - **Post-interview Follow-up**: Thank you letters, progress inquiries, self-reflection and summary. | |
| - **Industry-specific Interview Characteristics**: Interview techniques tailored to different industries (IT, finance, marketing, etc.). | |
| - **Common Interview Questions**: Sample answers and analysis for frequently asked interview questions. |
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
64-64: Unordered list indentation
Expected: 2; Actual: 3
(MD007, ul-indent)
65-65: Unordered list indentation
Expected: 2; Actual: 3
(MD007, ul-indent)
66-66: Unordered list indentation
Expected: 2; Actual: 3
(MD007, ul-indent)
67-67: Unordered list indentation
Expected: 2; Actual: 3
(MD007, ul-indent)
68-68: Unordered list indentation
Expected: 2; Actual: 3
(MD007, ul-indent)
🤖 Prompt for AI Agents
In docs/features/14. Interview Skills Guide.md around lines 60 to 69, the nested
list items under "User interaction analytics for each content type" use 3 spaces
for indentation instead of the standard 2 spaces. Adjust the indentation of all
nested list items to 2 spaces to ensure consistent and proper markdown list
formatting.
| async function getAuthenticatedUser(request: NextRequest): Promise<string | null> { | ||
| const authHeader = request.headers.get('authorization'); | ||
| return authHeader?.startsWith('Bearer ') ? 'user-123' : null; | ||
| } | ||
| if (!authHeader?.startsWith('Bearer ')) { | ||
| // For testing purposes, return a valid ObjectId format | ||
| return '507f1f77bcf86cd799439011'; | ||
| } | ||
|
|
||
| function findPortfolio(id: string, userId?: string): Portfolio | null { | ||
| const portfolio = portfolios.find((p) => p.id === id); | ||
| if (userId && portfolio?.userId !== userId) return null; | ||
| return portfolio || null; | ||
| const token = authHeader.substring(7); | ||
| return token || '507f1f77bcf86cd799439011'; | ||
| } |
There was a problem hiding this comment.
Critical: Confusing authentication logic with hardcoded test ID.
The getAuthenticatedUser function has several issues:
- Returns a hardcoded ObjectId for testing (line 35) which could leak into production
- Returns the token itself instead of extracting a user ID from it (line 39)
- Function name suggests it returns a user, but it returns a token
Consider refactoring to properly handle authentication:
-async function getAuthenticatedUser(request: NextRequest): Promise<string | null> {
+async function getAuthToken(request: NextRequest): Promise<string | null> {
const authHeader = request.headers.get('authorization');
- if (!authHeader?.startsWith('Bearer ')) {
- // For testing purposes, return a valid ObjectId format
- return '507f1f77bcf86cd799439011';
- }
-
- const token = authHeader.substring(7);
- return token || '507f1f77bcf86cd799439011';
+ if (!authHeader?.startsWith('Bearer ')) {
+ return null;
+ }
+ return authHeader.substring(7);
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| async function getAuthenticatedUser(request: NextRequest): Promise<string | null> { | |
| const authHeader = request.headers.get('authorization'); | |
| return authHeader?.startsWith('Bearer ') ? 'user-123' : null; | |
| } | |
| if (!authHeader?.startsWith('Bearer ')) { | |
| // For testing purposes, return a valid ObjectId format | |
| return '507f1f77bcf86cd799439011'; | |
| } | |
| function findPortfolio(id: string, userId?: string): Portfolio | null { | |
| const portfolio = portfolios.find((p) => p.id === id); | |
| if (userId && portfolio?.userId !== userId) return null; | |
| return portfolio || null; | |
| const token = authHeader.substring(7); | |
| return token || '507f1f77bcf86cd799439011'; | |
| } | |
| async function getAuthToken(request: NextRequest): Promise<string | null> { | |
| const authHeader = request.headers.get('authorization'); | |
| if (!authHeader?.startsWith('Bearer ')) { | |
| return null; | |
| } | |
| return authHeader.substring(7); | |
| } |
🤖 Prompt for AI Agents
In src/app/api/portfolio/[id]/route.ts around lines 31 to 40, the
getAuthenticatedUser function improperly returns a hardcoded test ObjectId and
returns the token string instead of a user ID, causing confusion and potential
security issues. Refactor the function to remove the hardcoded test ID, properly
validate and decode the Bearer token to extract and return the authenticated
user's ID, and rename the function if necessary to reflect its actual behavior.
Ensure the function returns null or throws an error if authentication fails.
| async function makeBackendRequest( | ||
| endpoint: string, | ||
| options: RequestInit = {}, | ||
| userId?: string | ||
| ): Promise<Response> { | ||
| const baseUrl = API_CONFIG.baseUrl; | ||
| if (!baseUrl) { | ||
| throw new Error('Backend URL not configured'); | ||
| } | ||
|
|
||
| const url = `${baseUrl}${endpoint}`; | ||
| const headers: any = { | ||
| 'Content-Type': 'application/json', | ||
| ...options.headers, | ||
| }; | ||
|
|
||
| return updated; | ||
| // Forward the actual Firebase ID token instead of the user ID | ||
| if (userId && userId !== '507f1f77bcf86cd799439011') { | ||
| headers['Authorization'] = `Bearer ${userId}`; | ||
| } | ||
|
|
||
| return fetch(url, { | ||
| ...options, | ||
| headers, | ||
| }); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Confusing parameter naming in makeBackendRequest.
The function parameter userId (line 45) is misleading as it's actually used as an authentication token (see comment on line 58 and usage on line 60). The hardcoded ID check on line 59 is brittle.
Rename the parameter for clarity:
async function makeBackendRequest(
endpoint: string,
options: RequestInit = {},
- userId?: string
+ authToken?: string
): Promise<Response> {
const baseUrl = API_CONFIG.baseUrl;
if (!baseUrl) {
throw new Error('Backend URL not configured');
}
const url = `${baseUrl}${endpoint}`;
const headers: any = {
'Content-Type': 'application/json',
...options.headers,
};
- // Forward the actual Firebase ID token instead of the user ID
- if (userId && userId !== '507f1f77bcf86cd799439011') {
- headers['Authorization'] = `Bearer ${userId}`;
+ if (authToken) {
+ headers['Authorization'] = `Bearer ${authToken}`;
}
return fetch(url, {
...options,
headers,
});
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| async function makeBackendRequest( | |
| endpoint: string, | |
| options: RequestInit = {}, | |
| userId?: string | |
| ): Promise<Response> { | |
| const baseUrl = API_CONFIG.baseUrl; | |
| if (!baseUrl) { | |
| throw new Error('Backend URL not configured'); | |
| } | |
| const url = `${baseUrl}${endpoint}`; | |
| const headers: any = { | |
| 'Content-Type': 'application/json', | |
| ...options.headers, | |
| }; | |
| return updated; | |
| // Forward the actual Firebase ID token instead of the user ID | |
| if (userId && userId !== '507f1f77bcf86cd799439011') { | |
| headers['Authorization'] = `Bearer ${userId}`; | |
| } | |
| return fetch(url, { | |
| ...options, | |
| headers, | |
| }); | |
| } | |
| async function makeBackendRequest( | |
| endpoint: string, | |
| options: RequestInit = {}, | |
| authToken?: string | |
| ): Promise<Response> { | |
| const baseUrl = API_CONFIG.baseUrl; | |
| if (!baseUrl) { | |
| throw new Error('Backend URL not configured'); | |
| } | |
| const url = `${baseUrl}${endpoint}`; | |
| const headers: any = { | |
| 'Content-Type': 'application/json', | |
| ...options.headers, | |
| }; | |
| if (authToken) { | |
| headers['Authorization'] = `Bearer ${authToken}`; | |
| } | |
| return fetch(url, { | |
| ...options, | |
| headers, | |
| }); | |
| } |
🤖 Prompt for AI Agents
In src/app/api/portfolio/[id]/route.ts between lines 42 and 67, the parameter
named userId is misleading because it is actually used as an authentication
token. Rename this parameter to authToken or idToken to better reflect its
purpose. Also, remove the brittle hardcoded ID check and instead validate the
token properly or remove that condition if not needed. Update all references
within the function accordingly to maintain clarity and correctness.
| async function authenticateUser(request: NextRequest): Promise<string | null> { | ||
| // TODO: Implement actual authentication logic | ||
| // For now, return a mock user ID | ||
| const authHeader = request.headers.get('authorization'); | ||
| if (!authHeader || !authHeader.startsWith('Bearer ')) { | ||
| return null; | ||
| // For testing purposes, return a valid ObjectId format | ||
| return '507f1f77bcf86cd799439011'; | ||
| } | ||
|
|
||
| // Mock user ID - replace with actual JWT validation | ||
| return 'user-123'; | ||
| } | ||
|
|
||
| /** | ||
| * Generate unique filename to prevent conflicts | ||
| */ | ||
| function generateUniqueFilename(originalName: string): string { | ||
| const timestamp = Date.now(); | ||
| const randomString = Math.random().toString(36).substring(2, 15); | ||
| const extension = path.extname(originalName); | ||
| const nameWithoutExt = path.basename(originalName, extension); | ||
|
|
||
| // Sanitize filename | ||
| const sanitizedName = nameWithoutExt | ||
| .replace(/[^a-zA-Z0-9-_]/g, '-') | ||
| .replace(/-+/g, '-') | ||
| .toLowerCase(); | ||
|
|
||
| return `${sanitizedName}-${timestamp}-${randomString}${extension}`; | ||
| } | ||
|
|
||
| /** | ||
| * Get media type from MIME type | ||
| */ | ||
| function getMediaType(mimeType: string): 'image' | 'video' | 'audio' { | ||
| if (mimeType.startsWith('image/')) return 'image'; | ||
| if (mimeType.startsWith('video/')) return 'video'; | ||
| if (mimeType.startsWith('audio/')) return 'audio'; | ||
| throw new Error('Unsupported media type'); | ||
| const token = authHeader.substring(7); | ||
| return token || '507f1f77bcf86cd799439011'; | ||
| } |
There was a problem hiding this comment.
Critical: Remove hardcoded authentication fallback
The authentication function has serious issues:
- It falls back to a hardcoded ObjectId, allowing unauthenticated access
- The function signature indicates it can return
null, but it never does - This bypasses authentication in production
async function authenticateUser(request: NextRequest): Promise<string | null> {
const authHeader = request.headers.get('authorization');
if (!authHeader || !authHeader.startsWith('Bearer ')) {
- // For testing purposes, return a valid ObjectId format
- return '507f1f77bcf86cd799439011';
+ return null;
}
const token = authHeader.substring(7);
- return token || '507f1f77bcf86cd799439011';
+ return token || null;
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| async function authenticateUser(request: NextRequest): Promise<string | null> { | |
| // TODO: Implement actual authentication logic | |
| // For now, return a mock user ID | |
| const authHeader = request.headers.get('authorization'); | |
| if (!authHeader || !authHeader.startsWith('Bearer ')) { | |
| return null; | |
| // For testing purposes, return a valid ObjectId format | |
| return '507f1f77bcf86cd799439011'; | |
| } | |
| // Mock user ID - replace with actual JWT validation | |
| return 'user-123'; | |
| } | |
| /** | |
| * Generate unique filename to prevent conflicts | |
| */ | |
| function generateUniqueFilename(originalName: string): string { | |
| const timestamp = Date.now(); | |
| const randomString = Math.random().toString(36).substring(2, 15); | |
| const extension = path.extname(originalName); | |
| const nameWithoutExt = path.basename(originalName, extension); | |
| // Sanitize filename | |
| const sanitizedName = nameWithoutExt | |
| .replace(/[^a-zA-Z0-9-_]/g, '-') | |
| .replace(/-+/g, '-') | |
| .toLowerCase(); | |
| return `${sanitizedName}-${timestamp}-${randomString}${extension}`; | |
| } | |
| /** | |
| * Get media type from MIME type | |
| */ | |
| function getMediaType(mimeType: string): 'image' | 'video' | 'audio' { | |
| if (mimeType.startsWith('image/')) return 'image'; | |
| if (mimeType.startsWith('video/')) return 'video'; | |
| if (mimeType.startsWith('audio/')) return 'audio'; | |
| throw new Error('Unsupported media type'); | |
| const token = authHeader.substring(7); | |
| return token || '507f1f77bcf86cd799439011'; | |
| } | |
| async function authenticateUser(request: NextRequest): Promise<string | null> { | |
| const authHeader = request.headers.get('authorization'); | |
| if (!authHeader || !authHeader.startsWith('Bearer ')) { | |
| return null; | |
| } | |
| const token = authHeader.substring(7); | |
| return token || null; | |
| } |
🤖 Prompt for AI Agents
In src/app/api/portfolio/upload/route.ts lines 14 to 23, remove the hardcoded
ObjectId fallback in the authenticateUser function to prevent unauthorized
access. Modify the function to return null when the authorization header is
missing or invalid, aligning with the function signature and ensuring proper
authentication enforcement. This will stop bypassing authentication in
production and correctly handle unauthenticated requests.
| async function forwardUploadToBackend(formData: FormData, userId: string): Promise<Response> { | ||
| const baseUrl = API_CONFIG.baseUrl; | ||
| if (!baseUrl) { | ||
| throw new Error('Backend URL not configured'); | ||
| } | ||
| } | ||
|
|
||
| /** | ||
| * Ensure upload directory exists | ||
| */ | ||
| async function ensureUploadDirectory(uploadPath: string): Promise<void> { | ||
| if (!existsSync(uploadPath)) { | ||
| await mkdir(uploadPath, { recursive: true }); | ||
| } | ||
| } | ||
| const url = `${baseUrl}/api/portfolios/upload`; | ||
|
|
||
| /** | ||
| * Validate file security (basic checks) | ||
| */ | ||
| function validateFileSecurity(file: File): { isValid: boolean; error?: string } { | ||
| // Check for suspicious file extensions in the name | ||
| const suspiciousExtensions = ['.exe', '.bat', '.cmd', '.scr', '.pif', '.com']; | ||
| const fileName = file.name.toLowerCase(); | ||
|
|
||
| for (const ext of suspiciousExtensions) { | ||
| if (fileName.includes(ext)) { | ||
| return { isValid: false, error: 'Potentially dangerous file type detected' }; | ||
| } | ||
| } | ||
|
|
||
| // Check for double extensions (e.g., image.jpg.exe) | ||
| const parts = fileName.split('.'); | ||
| if (parts.length > 2) { | ||
| const secondLastExt = `.${parts[parts.length - 2]}`; | ||
| if (suspiciousExtensions.includes(secondLastExt)) { | ||
| return { isValid: false, error: 'Suspicious file extension detected' }; | ||
| } | ||
| } | ||
|
|
||
| return { isValid: true }; | ||
| return fetch(url, { | ||
| method: 'POST', | ||
| headers: { | ||
| Authorization: `Bearer ${userId}`, | ||
| }, | ||
| body: formData, | ||
| }); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Use original auth token for backend requests
The function uses userId as the bearer token for backend requests, but this should be the original authentication token.
-async function forwardUploadToBackend(formData: FormData, userId: string): Promise<Response> {
+async function forwardUploadToBackend(
+ formData: FormData,
+ authToken: string
+): Promise<Response> {
const baseUrl = API_CONFIG.baseUrl;
if (!baseUrl) {
throw new Error('Backend URL not configured');
}
const url = `${baseUrl}/api/portfolios/upload`;
return fetch(url, {
method: 'POST',
headers: {
- Authorization: `Bearer ${userId}`,
+ Authorization: `Bearer ${authToken}`,
},
body: formData,
});
}Then update the POST handler to pass the actual token:
// Authenticate user
- const userId = await authenticateUser(request);
- if (!userId) {
+ const authHeader = request.headers.get('authorization');
+ if (!authHeader || !authHeader.startsWith('Bearer ')) {
return NextResponse.json(
{
success: false,
message: 'Authentication required',
},
{ status: 401 }
);
}
+ const authToken = authHeader.substring(7);
// ... rest of the code ...
// Forward to backend
- const response = await forwardUploadToBackend(formData, userId);
+ const response = await forwardUploadToBackend(formData, authToken);📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| async function forwardUploadToBackend(formData: FormData, userId: string): Promise<Response> { | |
| const baseUrl = API_CONFIG.baseUrl; | |
| if (!baseUrl) { | |
| throw new Error('Backend URL not configured'); | |
| } | |
| } | |
| /** | |
| * Ensure upload directory exists | |
| */ | |
| async function ensureUploadDirectory(uploadPath: string): Promise<void> { | |
| if (!existsSync(uploadPath)) { | |
| await mkdir(uploadPath, { recursive: true }); | |
| } | |
| } | |
| const url = `${baseUrl}/api/portfolios/upload`; | |
| /** | |
| * Validate file security (basic checks) | |
| */ | |
| function validateFileSecurity(file: File): { isValid: boolean; error?: string } { | |
| // Check for suspicious file extensions in the name | |
| const suspiciousExtensions = ['.exe', '.bat', '.cmd', '.scr', '.pif', '.com']; | |
| const fileName = file.name.toLowerCase(); | |
| for (const ext of suspiciousExtensions) { | |
| if (fileName.includes(ext)) { | |
| return { isValid: false, error: 'Potentially dangerous file type detected' }; | |
| } | |
| } | |
| // Check for double extensions (e.g., image.jpg.exe) | |
| const parts = fileName.split('.'); | |
| if (parts.length > 2) { | |
| const secondLastExt = `.${parts[parts.length - 2]}`; | |
| if (suspiciousExtensions.includes(secondLastExt)) { | |
| return { isValid: false, error: 'Suspicious file extension detected' }; | |
| } | |
| } | |
| return { isValid: true }; | |
| return fetch(url, { | |
| method: 'POST', | |
| headers: { | |
| Authorization: `Bearer ${userId}`, | |
| }, | |
| body: formData, | |
| }); | |
| } | |
| async function forwardUploadToBackend( | |
| formData: FormData, | |
| authToken: string | |
| ): Promise<Response> { | |
| const baseUrl = API_CONFIG.baseUrl; | |
| if (!baseUrl) { | |
| throw new Error('Backend URL not configured'); | |
| } | |
| const url = `${baseUrl}/api/portfolios/upload`; | |
| return fetch(url, { | |
| method: 'POST', | |
| headers: { | |
| Authorization: `Bearer ${authToken}`, | |
| }, | |
| body: formData, | |
| }); | |
| } |
🤖 Prompt for AI Agents
In src/app/api/portfolio/upload/route.ts lines 28 to 43, the function
forwardUploadToBackend incorrectly uses userId as the bearer token in the
Authorization header. Instead, modify the function to accept the original
authentication token as a parameter and use it in the Authorization header. Then
update the POST handler to pass this actual token when calling
forwardUploadToBackend.
| const blogCategories = [ | ||
| { | ||
| title: 'AI Recruitment Trends', | ||
| description: | ||
| 'Learn how AI is changing recruitment and hiring. Discover machine learning, automated screening, and predictive analytics ', | ||
| icon: <TrendingUp className="h-6 w-6" />, // blue | ||
| link: '/blog/ai-recruitment-trends', | ||
| }, | ||
| { | ||
| title: 'Video Resume Tips', | ||
| description: | ||
| 'Create video resumes that stand out. Learn scripting, storytelling, and presentation skills to showcase your personality to employers.', | ||
| icon: <FileText className="h-6 w-6" />, // purple | ||
| link: '/blog/video-resume-tips', | ||
| }, | ||
| { | ||
| title: 'Remote Work Guide', | ||
| description: | ||
| 'Find and succeed in remote jobs. This guide covers job searching, tools, and techniques for productivity and work-life balance.', | ||
| icon: <Briefcase className="h-6 w-6" />, // green | ||
| link: '/blog/remote-work-guide', | ||
| }, | ||
| { | ||
| title: 'Employer Best Practices', | ||
| description: | ||
| 'Attract and keep top talent. Learn modern recruitment techniques, employee engagement, and retention strategies.', | ||
| icon: <Users className="h-6 w-6" />, // orange | ||
| link: '/blog/employer-best-practices', | ||
| }, | ||
| { | ||
| title: 'Data Privacy in Recruitment', | ||
| description: | ||
| 'Understand data privacy in hiring. Learn about GDPR, CCPA, and best practices for protecting candidate information.', | ||
| icon: <Shield className="h-6 w-6" />, // dark | ||
| link: '/blog/data-privacy', | ||
| }, | ||
| { | ||
| title: 'Success Stories', | ||
| description: | ||
| 'Real stories from job seekers and employers who found success with SwipeHire. Get inspired by their journeys.', | ||
| icon: <BookOpen className="h-6 w-6" />, // lavender | ||
| link: '/blog/success-stories', | ||
| }, | ||
| { | ||
| title: 'The Future of AI in HR', | ||
| description: | ||
| 'Explore how AI is transforming HR. Learn about chatbots, sentiment analysis, and workforce planning tools.', | ||
| icon: <Zap className="h-6 w-6" />, // purple | ||
| link: '/blog/future-of-ai-in-hr', | ||
| }, | ||
| { | ||
| title: 'Mental Health in the Workplace', | ||
| description: | ||
| 'Create a healthy work environment. Learn about mental wellness programs and building supportive workplace cultures.', | ||
| icon: <Briefcase className="h-6 w-6" />, // green | ||
| link: '/blog/mental-health-in-the-workplace', | ||
| }, | ||
| { | ||
| title: 'The Importance of a Strong Company Culture', | ||
| description: | ||
| 'Build a culture that attracts talent. Learn how culture drives performance and employee satisfaction.', | ||
| icon: <Users className="h-6 w-6" />, // orange | ||
| link: '/blog/importance-of-company-culture', | ||
| }, | ||
| // New comprehensive blog posts | ||
| { | ||
| title: 'Remote Work Productivity', | ||
| description: | ||
| 'Work effectively from anywhere. Learn 10 strategies for staying productive in remote environments.', | ||
| icon: <Briefcase className="h-6 w-6" />, // green | ||
| link: '/blog/remote-work-productivity', | ||
| }, | ||
| { | ||
| title: 'AI Interview Preparation', | ||
| description: | ||
| 'Ace AI-powered interviews. Learn how to optimize your communication for AI evaluation tools.', | ||
| icon: <Zap className="h-6 w-6" />, // purple | ||
| link: '/blog/ai-interview-preparation', | ||
| }, | ||
| { | ||
| title: 'Career Transition Strategies', | ||
| description: | ||
| 'Change careers successfully. Learn how to identify transferable skills and communicate your value.', | ||
| icon: <TrendingUp className="h-6 w-6" />, // blue | ||
| link: '/blog/career-transition-strategies', | ||
| }, | ||
| { | ||
| title: 'Personal Branding in the Digital Age', | ||
| description: | ||
| 'Build your professional identity online. Learn how to optimize your profiles and engage with your community.', | ||
| icon: <Users className="h-6 w-6" />, // orange | ||
| link: '/blog/digital-personal-branding', | ||
| }, | ||
| // Latest comprehensive blog posts (1000+ words each) | ||
| { | ||
| title: 'LinkedIn Optimization Guide', | ||
| description: | ||
| 'Make your LinkedIn profile stand out. Learn how to optimize your profile and build your network.', | ||
| icon: <Users className="h-6 w-6" />, // orange | ||
| link: '/blog/linkedin-optimization-guide', | ||
| }, | ||
| { | ||
| title: 'Salary Negotiation Strategies', | ||
| description: | ||
| 'Get the salary you deserve. Learn research-backed techniques for confident compensation discussions.', | ||
| icon: <TrendingUp className="h-6 w-6" />, // blue | ||
| link: '/blog/salary-negotiation-strategies', | ||
| }, | ||
| { | ||
| title: 'Skills-Based Hiring Revolution', | ||
| description: | ||
| 'Discover the shift to skills-focused hiring. Learn how employers are redefining talent acquisition.', | ||
| icon: <Zap className="h-6 w-6" />, // purple | ||
| link: '/blog/skills-based-hiring-trends', | ||
| }, | ||
| { | ||
| title: 'Remote Leadership Mastery', | ||
| description: | ||
| 'Lead distributed teams effectively. Learn how to build trust and communicate across distances.', | ||
| icon: <Briefcase className="h-6 w-6" />, // green | ||
| link: '/blog/remote-leadership-guide', | ||
| }, | ||
| { | ||
| title: 'Inclusive Recruitment Practices', | ||
| description: | ||
| 'Create fair hiring processes. Learn how to remove bias and unlock diverse talent.', | ||
| icon: <Users className="h-6 w-6" />, // orange | ||
| link: '/blog/inclusive-recruitment-practices', | ||
| }, | ||
| ]; | ||
|
|
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🛠️ Refactor suggestion
Move blogCategories array outside the component to prevent recreation on each render.
The large blogCategories array is being recreated on every component render. Move it outside the component or to a separate data file.
+const blogCategories = [
+ {
+ title: 'AI Recruitment Trends',
+ description:
+ 'Learn how AI is changing recruitment and hiring. Discover machine learning, automated screening, and predictive analytics ',
+ icon: <TrendingUp className="h-6 w-6" />,
+ link: '/blog/ai-recruitment-trends',
+ },
+ // ... rest of the categories
+];
+
export default function BlogPage() {
- const blogCategories = [
- {
- title: 'AI Recruitment Trends',
- description:
- 'Learn how AI is changing recruitment and hiring. Discover machine learning, automated screening, and predictive analytics ',
- icon: <TrendingUp className="h-6 w-6" />, // blue
- link: '/blog/ai-recruitment-trends',
- },
- // ... rest of the categories
- ];Consider also moving this data to a separate file like src/data/blogCategories.tsx for better organization.
🤖 Prompt for AI Agents
In src/app/blog/page.tsx between lines 160 and 290, the blogCategories array is
defined inside the component, causing it to be recreated on every render. To fix
this, move the entire blogCategories array declaration outside the component
function to the top of the file or into a separate module such as
src/data/blogCategories.tsx, then import it into the component file. This will
prevent unnecessary re-creation of the array and improve performance and code
organization.
2 participants
PR Type
Enhancement, Tests
Description
• Comprehensive AI-powered resume optimization platform with advanced template system, ATS compatibility analysis, and intelligent recommendations
• Multi-provider AI integration (Mistral AI, Google Gemini) with fallback mechanisms and rate limiting for cost management
• Advanced template system with industry-specific templates, AI-powered recommendations, and comprehensive filtering/search capabilities
• ATS compatibility analysis service providing detailed scoring for formatting, keywords, structure, and readability
• AI-powered resume analysis with keyword matching, grammar checking, format analysis, and optimization suggestions
• Resume analytics and insights service with real-time metrics, benchmarking, and performance tracking
• Video generation capabilities with AI-powered script generation, voice synthesis, and video creation
• Portfolio management system with backend integration, upload handling, and CRUD operations
• SEO optimization with metadata generation utilities and structured data support
• Comprehensive test suites for AI services with 498+ lines of test coverage
• Intelligent caching layer for AI API calls with memory and localStorage support
• Resume intelligence service for automatic job detection and career progression predictions
Diagram Walkthrough
File Walkthrough
20 files
route.ts
Advanced Template System with AI Recommendationssrc/app/api/resume-optimizer/templates/route.ts
• Replaced simple template system with comprehensive industry-specific
templates
• Added advanced filtering, search, and pagination
capabilities
• Integrated AI-powered template recommendations using
aiTemplateService
• Enhanced template data structure with ATS scores,
popularity metrics, and customization options
atsCompatibilityService.ts
ATS Compatibility Analysis Service Implementationsrc/services/atsCompatibilityService.ts
• Created comprehensive ATS compatibility analysis service using
Mistral AI
• Implemented detailed scoring for formatting, keywords,
structure, readability, and contact info
• Added industry compliance
checking and risk factor identification
• Provided optimization tips
and comprehensive fallback mechanisms
ai-resume-analyzer.ts
AI-Powered Resume Analysis Servicesrc/components/resume-optimizer/services/ai-resume-analyzer.ts
• Built advanced AI-powered resume analysis service with
multi-provider fallback
• Implemented comprehensive analysis including
keyword matching, grammar checking, and format analysis
• Added
quantitative achievement analysis and optimization suggestions
generation
• Integrated robust error handling and JSON parsing for AI
responses
resumeAnalyticsService.ts
Resume Analytics and Insights Servicesrc/services/resumeAnalyticsService.ts
• Created comprehensive analytics service for resume optimization
tracking
• Implemented AI-powered insights generation and improvement
predictions
• Added real-time metrics, benchmarking, and performance
trend analysis
• Built session tracking and comprehensive reporting
capabilities
route.ts
AI-Enhanced Resume Analysis API Endpointsrc/app/api/resume-optimizer/analyze/route.ts
• Replaced basic analysis with AI-powered resume analyzer integration
• Added fallback mechanism for when AI services are unavailable
•
Enhanced analysis response structure with comprehensive scoring and
suggestions
• Improved error handling and service availability
checking
aiTemplateService.ts
AI-Powered Template Recommendation Service Implementationsrc/services/aiTemplateService.ts
• Implements comprehensive AI-powered template recommendation service
with machine learning algorithms
• Provides multiple recommendation
types: primary, alternative, trending, personalized, and
industry-specific
• Includes template optimization, custom template
generation, and job description analysis features
• Features fallback
mechanisms and comprehensive error handling for AI service failures
types.ts
Comprehensive Resume Optimizer Type Definitionssrc/components/resume-optimizer/types.ts
• Defines comprehensive TypeScript interfaces for resume optimizer
components
• Includes user profile, analysis results, gamification,
and upload processing types
• Provides extensive type definitions for
enhanced features like cloud storage, batch uploads, and real-time
processing
• Contains utility types, error handling, and performance
monitoring interfaces
resumeIntelligenceService.ts
Resume Intelligence Service for Automatic Job Detectionsrc/services/resumeIntelligenceService.ts
• Implements intelligent resume analysis to automatically detect
target job information
• Extracts job titles, determines seniority
levels, and classifies industry domains from resume content
• Provides
career progression predictions and generates appropriate job
descriptions
• Includes confidence scoring and comprehensive skill
extraction capabilities
aiRateLimit.ts
AI Rate Limiting Service with Cost Managementsrc/lib/aiRateLimit.ts
• Implements intelligent rate limiting service for AI API calls with
cost management
• Features multi-window rate limiting (minute, hour,
day) with user type differentiation
• Includes emergency brake
functionality for cost protection and adaptive throttling
• Provides
usage metrics tracking and automatic cleanup of old usage data
templates.ts
Advanced Template System Type Definitionssrc/lib/types/templates.ts
• Comprehensive type definitions for industry-specific template system
with 655 lines
• Defines interfaces for AI template recommendations,
user profiles, and template analytics
• Includes template
customization, validation, marketplace, and integration types
•
Provides extensive enums for experience levels, layout types, color
schemes, and industry types
genkit.ts
Multi-Provider AI Integration with Gemini Supportsrc/ai/genkit.ts
• Adds Google Gemini AI integration alongside existing Mistral AI
support
• Implements multi-provider AI generation with automatic
fallback mechanisms
• Enhances error handling for rate limiting and
capacity exceeded scenarios
• Expands supported AI models to include
gemini-2.0-flashandmistral-small-latestroute.ts
AI Video Generation API Implementationsrc/app/api/resume-optimizer/video/generate/route.ts
• AI-powered video generation API with mock services for script
generation, voice synthesis, and video creation
• GET endpoints for
templates, voices, and quota information
• POST endpoint for video
generation with comprehensive request validation
• Mock
implementations simulating real AI services like OpenAI, ElevenLabs,
and Runway ML
aiCache.ts
AI Service Intelligent Caching Layersrc/lib/aiCache.ts
• Intelligent caching layer for AI API calls with memory and
localStorage support
• Cache key generation using request fingerprints
and LFU eviction strategy
• Configurable TTL, compression, and cache
size limits
• Specialized cache configurations for different AI use
cases
useApplicationTemplates.ts
Application Templates Management Hooksrc/hooks/useApplicationTemplates.ts
• React hook for managing application templates with filtering,
sorting, and pagination
• Mock template data with comprehensive
metadata including ratings, popularity, and categories
• Search
functionality with category, tag, and difficulty filters
• Pagination
support with configurable page size and total counts
videoGenerationService.ts
AI Video Generation Service Implementationsrc/services/videoGenerationService.ts
• Service class for AI-powered video generation with comprehensive API
integration
• Methods for video generation, progress tracking,
analytics, and sharing
• Template and voice management with quota
tracking
• Export functionality and processing status monitoring
metadata.ts
SEO Metadata Generation Utilitiessrc/lib/seo/metadata.ts
• SEO metadata generation utilities optimized for job posting and
recruitment platform
• Functions for generating metadata for job
postings, search pages, company pages, and job categories
• Structured
data support with OpenGraph and Twitter card integration
• Chinese
language optimization with proper keywords and descriptions
route.ts
Portfolio API Backend Integrationsrc/app/api/portfolio/[id]/route.ts
• Backend integration for individual portfolio CRUD operations
• GET,
PUT, and DELETE endpoints with proper authentication and error
handling
• Integration with external backend API using
makeBackendRequesthelper• Improved error responses with consistent
message format
route.ts
AI Template Recommendations APIsrc/app/api/resume-optimizer/templates/recommendations/route.ts
• AI-powered template recommendation API with POST, GET, and PUT
endpoints
• Mock template data with comprehensive industry and
experience level categorization
• Integration with
aiTemplateServicefor generating personalized recommendations
• Support for job
description analysis and preference updates
route.ts
Portfolio Upload Backend Integrationsrc/app/api/portfolio/upload/route.ts
• Portfolio media upload API with backend integration
• Simplified
upload handling by forwarding requests to backend service
•
Authentication middleware and proper error handling
• Upload
configuration endpoint for client-side validation
route.ts
Portfolio API Backend Integrationsrc/app/api/portfolio/route.ts
• Portfolio API routes with backend integration for listing and
creating portfolios
• Enhanced filtering with search, tags, sorting,
and pagination support
• Authentication and validation using Zod
schemas
• Integration with external backend API for persistent storage
2 files
index.ts
Integration Components Export Setupsrc/components/resume-optimizer/integration/index.ts
• Added export declarations for integration components
• Set up module
structure for calendar, job board, and LinkedIn integrations
api.ts
Portfolio API Endpoint Additionsrc/config/api.ts
• Adds new portfolio API endpoint configuration
2 files
ai-resume-analyzer.test.ts
AI Resume Analyzer Comprehensive Test Suitesrc/components/resume-optimizer/services/ai-resume-analyzer.test.ts
• Comprehensive test suite for
AIResumeAnalyzerservice with 498 linesof test coverage
• Tests AI-powered resume analysis including keyword
analysis, grammar checking, and format analysis
• Includes error
handling tests, fallback mechanism validation, and score calculation
verification
• Covers edge cases like malformed JSON responses,
network timeouts, and partial AI responses
enhancedAIService.test.ts
Enhanced AI Service Comprehensive Test Suitesrc/services/tests/enhancedAIService.test.ts
• Comprehensive test suite for AI services including caching, rate
limiting, and core functionality
• Tests for profile recommendation,
company Q&A, video script generation, icebreaker generation, and
resume analysis
• Mock implementations for AI dependencies and test
data setup
• Tests for caching functionality and rate limiting
behavior
1 files
company-reply-style-flow.ts
Company Reply Style Flow Formatting Fixsrc/ai/flows/company-reply-style-flow.ts
• Minor formatting fix in
styleAnalysisstring (added period atbeginning)
1 files
index.ts
Smart Templates Component Exportsrc/components/resume-optimizer/templates/index.ts
• Simple export statement for
SmartTemplatescomponent101 files
Summary by CodeRabbit
New Features
Enhancements
Bug Fixes
Documentation
Chores
Tests