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This document outlines how PR reviews can serve as an Archimedes lever for AI agent improvement in knowledge base curation workflows.

Key sections:

  • Why PR reviews matter for AI agents
  • Best practices for separation of concerns
  • Review process standards
  • GitHub workflow considerations
  • Implementation guidelines
  • Tools and automation
  • Success metrics

Fixes #61

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This document outlines how PR reviews can serve as an Archimedes lever for AI agent improvement in knowledge base curation workflows. Covers separation of concerns, review process standards, and implementation guidelines.

Fixes #61

Co-authored-by: Chris Mungall <[email protected]>
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claude bot commented Dec 22, 2025

Claude finished @dragon-ai-agent's task —— View job


PR Review: Add PR reviews best practices documentation

Review Tasks:

  • Read and analyze the new documentation file
  • Review mkdocs.yml changes
  • Check content quality and structure
  • Verify alignment with project guidelines
  • Provide comprehensive feedback

Review Summary

This PR adds comprehensive documentation for PR review best practices specifically for AI agent workflows. The documentation is well-structured and aligns with the project's mission of providing practical, actionable guidance for AI-assisted curation.

Strengths

Content Quality

  • Clear structure: Well-organized sections with logical flow from "why" to "how" to "implementation"
  • Practical focus: Aligns perfectly with the repository's emphasis on actionable content over theory
  • Domain-specific: Addresses unique challenges of AI agent workflows, particularly GitHub's PR ownership limitations
  • Comprehensive coverage: Covers technical, process, and measurement aspects

Technical Accuracy

  • Correctly identifies GitHub workflow limitations with agent-created PRs (docs/how-tos/pr-reviews-for-agent-improvement.md:70-78)
  • Provides practical workarounds for review challenges
  • Includes realistic examples of good vs. poor separation of concerns

Documentation Standards

  • Follows established patterns from other how-to guides
  • Uses consistent markdown formatting and structure
  • Includes proper cross-references to related documentation

Areas for Improvement

Minor Issues

  1. Reference Links (docs/how-tos/pr-reviews-for-agent-improvement.md:150-152):

    • Links to related resources may need verification
    • instruct-github-agent.md exists, but check others are valid
  2. Terminology Consistency:

    • Consider using more consistent terminology for "AI agents" vs "agents"
    • Some sections could benefit from links to the glossary

Suggestions for Enhancement

  1. Add Concrete Examples:

    • Consider adding a real example of a good PR review comment
    • Could include a sample review checklist template
  2. GitHub Workflow Details:

    • Could expand on specific GitHub Actions integration for automated checks
    • More details on repository settings for mandatory reviews

mkdocs.yml Changes

  • ✅ Properly added under "Administrator how-tos" section
  • ✅ Follows existing navigation structure
  • ✅ Correct file path and formatting

Security Considerations

  • ✅ No security issues identified
  • ✅ Documentation promotes good security practices through review requirements

Performance Considerations

  • ✅ Documentation-only changes have no performance impact
  • ✅ Guidance on automated pre-review checks could improve efficiency

Test Coverage

  • ✅ Documentation change - no code testing required
  • Consider: Could add link validation to CI in future

Final Recommendation

✅ APPROVE - This is a high-quality addition to the documentation that fills an important gap in the AI agent workflow guidance. The content is well-researched, practically focused, and aligns perfectly with the project's goals.

The minor suggestions above are enhancements for future iterations rather than blockers for this PR.


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Add best practice doc: PR reviews as archimedes lever for agentic improvement

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