AI-Assisted Code Review

Use AI tools to enhance your code review process without replacing human judgment.

When to use AI for review

• First-pass review — Let AI catch common issues before a human reviewer looks at the PR
• Large diffs — AI can help summarize changes and flag areas of concern
• Unfamiliar code — Get AI explanations for code in areas you don't work in regularly

Review checklist

When reviewing AI-generated code, always check:

• Logic correctness — does it actually solve the problem?
• Edge cases — are error states and boundary conditions handled?
• Security — no injection vulnerabilities, secrets exposure, or auth bypass
• Tests — are new or changed behaviors covered by tests?
• Performance — no unnecessary loops, allocations, or N+1 queries
• Style — does it match existing patterns in the codebase?

What AI review catches well

• Syntax errors and typos
• Missing null checks
• Unused imports and variables
• Common security patterns (SQL injection, XSS)
• Documentation gaps

What still needs human review

• Business logic correctness
• Architectural decisions
• UX implications
• Cross-team impact
• Compliance and regulatory requirements