review-pr

name: review-pr description: Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis. argument-hint: "[PR number or branch name]"

Review PR

Perform a comprehensive code review of a pull request or branch diff using the knowledge graph.

Token optimization: Before starting, call get_docs_section_tool(section_name="review-pr") for the optimized workflow. Never include full files unless explicitly asked.

Steps

1. Identify the changes for the PR:

   • If a PR number or branch is provided, use git diff main...<branch> to get changed files
   • Otherwise auto-detect from the current branch vs main/master

2. Update the graph by calling build_or_update_graph_tool(base="main") to ensure the graph reflects the current state.

3. Get the full review context by calling get_review_context_tool(base="main"):

   • This uses main (or the specified base branch) as the diff base
   • Returns all changed files across all commits in the PR

4. Analyze impact by calling get_impact_radius_tool(base="main"):

   • Review the blast radius across the entire PR
   • Identify high-risk areas (widely depended-upon code)

5. Deep-dive each changed file:

   • Read the full source of files with significant changes
   • Use query_graph_tool(pattern="callers_of", target=<func>) for high-risk functions
   • Use query_graph_tool(pattern="tests_for", target=<func>) to verify test coverage
   • Check for breaking changes in public APIs

6. Generate structured review output:

   ## PR Review: <title>
   
   ### Summary
   <1-3 sentence overview>
   
   ### Risk Assessment
   - **Overall risk**: Low / Medium / High
   - **Blast radius**: X files, Y functions impacted
   - **Test coverage**: N changed functions covered / M total
   
   ### File-by-File Review
   #### <file_path>
   - Changes: <description>
   - Impact: <who depends on this>
   - Issues: <bugs, style, concerns>
   
   ### Missing Tests
   - <function_name> in <file> - no test coverage found
   
   ### Recommendations
   1. <actionable suggestion>
   2. <actionable suggestion>
   

Tips

• For large PRs, focus on the highest-impact files first (most dependents)
• Use semantic_search_nodes_tool to find related code the PR might have missed
• Check if renamed/moved functions have updated all callers