AI Agent: Automated CI/CD Feedback Loop with GitHub CLI

[mrboojum]

Feature Request

User Story

As an ORION developer using AI agents, I want the AI to automatically monitor GitHub workflow runs and incorporate CI results after pushing code, so that development iterations are faster and failures are auto-analyzed without manual intervention.

Problem Statement

Currently, after pushing code changes:

1. Developer/AI must manually check GitHub Actions UI for workflow status
2. Wait for completion without visibility into progress
3. Manually read logs to diagnose failures
4. Context-switch between terminal and browser
5. Repeat cycle for each fix attempt

This manual process is slow and breaks the flow of AI-driven development tasks.

Proposed Solution

Implement AI agent capability to use GitHub CLI for automated workflow monitoring:

Core Capabilities:

• Auto-monitor: Detect workflow trigger after git push, get run ID, watch status
• Progress tracking: Poll workflow status until completion (use gh run watch)
• Failure analysis: On failure, fetch logs, parse error patterns, identify root cause
• Structured reporting: Present findings to user/agent with actionable insights
• Retry support: Enable automated fix-and-retry cycles

Technical Approach:

• Use gh run list, gh run view, gh run watch for monitoring
• Parse logs with gh run view --log --job= after completion
• Implement polling-based pattern (no live log streaming available)
• Integrate into AI agent workflows (e.g., code-quality-refactor, performance-optimizer)

Acceptance Criteria

• PowerShell script/module for workflow monitoring automation
• Log parsing for common failure patterns (build errors, test failures, timeouts)
• Integration example with at least one agent workflow
• Documentation in .github/instructions/ or agent templates
• Handles GitHub API rate limits gracefully

Out of Scope

• Live log streaming (GitHub API limitation)
• Full auto-fix for all error types (start with common patterns)
• Changes to CI/CD workflows themselves

Priority

Medium - Significant productivity improvement for AI-driven development

Related

• Builds on GitHub CLI capabilities demonstrated in conversation
• Complements existing CI/CD infrastructure (.github/workflows/)
• Supports iterative development patterns in task templates