AI Code Review Workflow
This workflow provides a thorough code review using AI to catch issues human reviewers might miss. Use it before merging PRs or as a second pair of eyes on your own code.
Best AI Models for This Workflow
Workflow Steps
Initial Bug Scan
Check for obvious bugs, logic errors, and incorrect assumptions.
Why Claude: Claude's large context window handles entire files and catches subtle logic issues.
Security Audit
Identify security vulnerabilities and potential attack vectors.
Why Claude: Claude understands security contexts and identifies subtle vulnerabilities.
Performance Analysis
Find performance bottlenecks and optimization opportunities.
Why Claude: Claude can analyze algorithmic complexity and identify subtle inefficiencies.
Code Quality Check
Evaluate readability, maintainability, and adherence to best practices.
Why Claude: Claude provides nuanced feedback on code style and maintainability.
Test Coverage Assessment
Identify missing tests and suggest test cases.
Why Claude: Claude understands code behavior and identifies important test scenarios.
Generate Review Summary
Create a clear summary for the team or PR comments.
Why Claude: Claude writes clear, professional feedback that's helpful for authors.
Run This Workflow with Council
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