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feat: add AI feedback PR review validation workflow - #1526
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Add comprehensive workflow system for validating AI feedback in pull requests: - Automatic validation of PR-issue linkage (Resolves/Closes) - FEEDBACK_RESPONSE.md template and validation - Status marker validation (✅ Addressed, 📋 Deferred, ❌ Rejected) - Helper script for feedback structure validation - Complete documentation with examples and quick reference - Team-friendly 4-step process for feedback tracking Files added: - workflows/ai-feedback-validation.yml (190 lines) - scripts/validation/ai-feedback-helpers.cjs (191 lines) - PULL_REQUEST_TEMPLATE/FEEDBACK_RESPONSE.md (template) - examples/FEEDBACK_RESPONSE_example-simple.md (simple case) - examples/FEEDBACK_RESPONSE_example-complex.md (complex case) - docs/ai-feedback-response-tracking.md (comprehensive guide) - docs/WORKFLOW_AI_FEEDBACK_VALIDATION.md (workflow details) - docs/QUICK_REFERENCE_AI_FEEDBACK.md (developer quick ref) This enables: ✅ Automatic validation on every PR ✅ Clear, actionable validation messages ✅ Transparent feedback tracking (addressed/deferred/rejected) ✅ Process enforcement via workflow checks ✅ Team consistency across all PRs Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Add comprehensive documentation for team adoption and automation setup: - AI_FEEDBACK_IMPLEMENTATION_GUIDE.md: Team guide for 4-step workflow - AI_FEEDBACK_AUTOMATION_SETUP.md: Technical setup and configuration - CLAUDE.md: Updated with workflow references and quick links Documentation covers: - When to use the system (all PRs with AI feedback) - 4-step implementation process - Decision-making framework (address/defer/reject) - Common scenarios and troubleshooting - Team best practices - Validation checks and enforcement - Automation setup and monitoring - Performance and scaling considerations Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Complete summary of the AI feedback PR review validation system: - Project status and deliverables - Complete file inventory and architecture - How the system works (4-step process) - Validation rules and feedback statuses - Team rollout plan and success metrics - Documentation map and quick references - Statistics and project completion status Ready for team review, testing, and rollout. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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⏱️ Aging and SLA annotation
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🔍 Reviewer Summary for PR #1526CI Status: ✅ Recommendations
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Summary
Add comprehensive GitHub Actions workflow system for validating AI feedback in pull requests. Ensures all feedback is reviewed, documented, and tracked before merge.
What's Included
Core System
.github/workflows/ai-feedback-validation.yml— validates PR-issue linkage, feedback responses, status markers.github/scripts/validation/ai-feedback-helpers.cjs— validation logic and utility functionsUser Resources
.github/PULL_REQUEST_TEMPLATE/FEEDBACK_RESPONSE.md— standardized feedback tracking formatDocumentation (6 guides)
4-Step Process for Teams
Resolves #456to PR descriptioncp .github/PULL_REQUEST_TEMPLATE/FEEDBACK_RESPONSE.md ./Validation Checks
The workflow validates:
Related Issues
Closes#1509 (AI feedback governance compliance guidance)
Relates to ongoing PR review and feedback tracking initiatives
Changelog
Added
Features
Checklist (Global DoD / PR)
🤖 Generated with Claude Code