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review-implementing

Process and implement code review feedback systematically. Use when user provides reviewer comments, PR feedback, code review notes, or asks to implement suggestions from reviews.

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Review Feedback Implementation

Systematically process and implement changes based on code review feedback.

When to Use

  • Provides reviewer comments or feedback
  • Pastes PR review notes
  • Mentions implementing review suggestions
  • Says "address these comments" or "implement feedback"
  • Shares list of changes requested by reviewers

Systematic Workflow

1. Parse Reviewer Notes

Identify individual feedback items:

  • Split numbered lists (1., 2., etc.)
  • Handle bullet points or unnumbered feedback
  • Extract distinct change requests
  • Clarify ambiguous items before starting

2. Create Todo List

Use TodoWrite tool to create actionable tasks:

  • Each feedback item becomes one or more todos
  • Break down complex feedback into smaller tasks
  • Make tasks specific and measurable
  • Mark first task as in_progress before starting

Example:

- Add type hints to extract function
- Fix duplicate tag detection logic
- Update docstring in chain.py
- Add unit test for edge case

3. Implement Changes Systematically

For each todo item:

Locate relevant code:

  • Use Grep to search for functions/classes
  • Use Glob to find files by pattern
  • Read current implementation

Make changes:

  • Use Edit tool for modifications
  • Follow project conventions (CLAUDE.md)
  • Preserve existing functionality unless changing behavior

Verify changes:

  • Check syntax correctness
  • Run relevant tests if applicable
  • Ensure changes address reviewer's intent

Update status:

  • Mark todo as completed immediately after finishing
  • Move to next todo (only one in_progress at a time)

4. Handle Different Feedback Types

Code changes:

  • Use Edit tool for existing code
  • Follow type hint conventions (PEP 604/585)
  • Maintain consistent style

New features:

  • Create new files with Write tool if needed
  • Add corresponding tests
  • Update documentation

Documentation:

  • Update docstrings following project style
  • Modify markdown files as needed
  • Keep explanations concise

Tests:

  • Write tests as functions, not classes
  • Use descriptive names
  • Follow pytest conventions

Refactoring:

  • Preserve functionality
  • Improve code structure
  • Run tests to verify no regressions

5. Validation

After implementing changes:

  • Run affected tests
  • Check for linting errors: uv run ruff check
  • Verify changes don't break existing functionality

6. Communication

Keep user informed:

  • Update todo list in real-time
  • Ask for clarification on ambiguous feedback
  • Report blockers or challenges
  • Summarize changes at completion

Edge Cases

Conflicting feedback:

  • Ask user for guidance
  • Explain conflict clearly

Breaking changes required:

  • Notify user before implementing
  • Discuss impact and alternatives

Tests fail after changes:

  • Fix tests before marking todo complete
  • Ensure all related tests pass

Referenced code doesn't exist:

  • Ask user for clarification
  • Verify understanding before proceeding

Important Guidelines

  • Always use TodoWrite for tracking progress
  • Mark todos completed immediately after each item
  • Only one todo in_progress at any time
  • Don't batch completions - update status in real-time
  • Ask questions for unclear feedback
  • Run tests if changes affect tested code
  • Follow CLAUDE.md conventions for all code changes
  • Use conventional commits if creating commits afterward

レビュー

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