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AI Development Workflow Platform

Project Overview

A collaborative AI-powered development workflow platform that automates and streamlines software development tasks through intelligent agents.

System Architecture

Core Components

  1. Frontend Kanban Board

    • User interface for task management
    • Drag-and-drop task movement
    • Real-time state tracking
    • Agent interaction visualization

  2. Task Management System

    • Ticket creation and tracking
    • State machine for workflow progression
    • Metadata storage for task context

  3. Agent Orchestration Layer

    • Code Planning Agent
    • Code Generation Agent
    • Code Review Agent
    • Human-in-the-loop Integration

Workflow Stages

1. Task Initialization

  • User creates ticket on Kanban board
  • Ticket enters "Todo" column
  • System assigns unique identifier

2. Code Planning Phase

  • Planning agent breaks down ticket into granular steps
  • Generates detailed implementation strategy
  • Updates ticket with implementation plan
  • Moves ticket to "Ready to Code" column

3. Code Generation

  • Generation agent interprets planning details
  • Produces implementation code
  • Adds generated code as ticket comment
  • Moves ticket to "Code Review" column

4. Code Review

  • Review agent analyzes generated code
  • Identifies potential improvements
  • Suggests specific code modifications
  • Triggers human review if significant changes detected

5. Human Intervention

  • Human reviewer evaluates suggested changes
  • Approves or requests further modifications
  • Can terminate or restart workflow cycle

Workflow Constraints

  • Maximum 3 planning/generation cycles
  • Human can interrupt/terminate at any stage
  • Strict state transition rules

Technology Stack Recommendations

  • Frontend: React/Next.js
  • Backend: Node.js/Express
  • Database: MongoDB/PostgreSQL
  • WebSocket for real-time updates
  • Authentication: OAuth/JWT

API Endpoints

  • /tasks/create
  • /tasks/{id}/plan
  • /tasks/{id}/generate
  • /tasks/{id}/review
  • /tasks/{id}/approve

Security Considerations

  • Role-based access control
  • Input validation
  • Secure API authentication
  • Audit logging for all agent actions

Scalability Approach

  • Microservices architecture
  • Containerization (Docker)
  • Horizontal scaling capabilities
  • Message queue for agent communication

Monitoring & Observability

  • Comprehensive logging
  • Performance metrics tracking
  • Error tracking and alerting
  • Agent performance dashboards

Future Enhancements

  • Machine learning model for agent performance optimization
  • Advanced natural language processing
  • Integration with version control systems
  • Predictive task complexity estimation

Estimated Development Timeline

  • Phase 1 (4 weeks): Core architecture and initial agent implementations
  • Phase 2 (3 weeks): Frontend development and integration
  • Phase 3 (2 weeks): Testing and refinement

Proof of Concept Success Criteria

  • 80% task automation rate
  • Consistent code quality maintenance
  • Reduced human intervention overhead
  • Smooth state transitions

Structure

ai-dev-workflow/
│
├── frontend/
│   ├── src/
│   │   ├── components/
│   │   │   ├── KanbanBoard.js
│   │   │   ├── TaskCard.js
│   │   │   ├── AgentStatusIndicator.js
│   │   │   └── WorkflowStateVisualizer.js
│   │   ├── hooks/
│   │   │   ├── useTaskManagement.js
│   │   │   └── useAgentInteraction.js
│   │   ├── services/
│   │   │   ├── apiService.js
│   │   │   └── websocketService.js
│   │   ├── contexts/
│   │   │   └── WorkflowContext.js
│   │   └── pages/
│   │       ├── Dashboard.js
│   │       └── TaskDetail.js
│   ├── styles/
│   │   └── global.css
│   └── package.json
│
├── backend/
│   ├── src/
│   │   ├── controllers/
│   │   │   ├── taskController.js
│   │   │   └── agentController.js
│   │   ├── models/
│   │   │   ├── Task.js
│   │   │   └── Agent.js
│   │   ├── services/
│   │   │   ├── planningService.js
│   │   │   ├── generationService.js
│   │   │   └── reviewService.js
│   │   ├── middleware/
│   │   │   ├── authMiddleware.js
│   │   │   └── validationMiddleware.js
│   │   ├── routes/
│   │   │   ├── taskRoutes.js
│   │   │   └── agentRoutes.js
│   │   ├── utils/
│   │   │   ├── logger.js
│   │   │   └── errorHandler.js
│   │   └── server.js
│   └── package.json
│
├── agents/
│   ├── code-planner/
│   │   ├── src/
│   │   │   ├── planner.py
│   │   │   └── strategy_generator.py
│   │   └── requirements.txt
│   ├── code-generator/
│   │   ├── src/
│   │   │   ├── generator.py
│   │   │   └── language_models.py
│   │   └── requirements.txt
│   └── code-reviewer/
│       ├── src/
│       │   ├── reviewer.py
│       │   └── analysis_engine.py
│       └── requirements.txt
│
├── database/
│   ├── migrations/
│   │   ├── 001_create_tasks.sql
│   │   └── 002_create_agents.sql
│   └── schema.prisma
│
├── tests/
│   ├── frontend/
│   │   └── TaskManagement.test.js
│   ├── backend/
│   │   └── AgentOrchestration.test.js
│   └── agents/
│       ├── PlannerTests.py
│       ├── GeneratorTests.py
│       └── ReviewerTests.py
│
├── docker/
│   ├── frontend.Dockerfile
│   ├── backend.Dockerfile
│   └── docker-compose.yml
│
├── .env.example
├── .gitignore
└── README.md

setup vite

npm create vite@latest frontend -- --template react-ts
cd frontend
npm install axios react-router-dom
npm install -D tailwindcss postcss autoprefixer
npx tailwindcss init -p

shadcnui

npx shadcn-ui@latest add button
npx shadcn-ui@latest add dialog
npx shadcn-ui@latest add input
npx shadcn-ui@latest add textarea
npx shadcn-ui@latest add toast