code-review-checklist

A code review checklist should cover correctness, security controls, performance anti-patterns, test coverage, and documentation. It helps reviewers consistently identify edge cases, input validation issues, and missing unit tests during pull request reviews and repository audits.

Review code for security by checking input validation, injection protections, and secret handling. Evaluate performance by detecting N+1 queries, unnecessary loops, and large functions needing refactoring, then flag blocking issues, suggestions, and minor nits.

Yes, you can use a code review checklist for AI-assisted code generation checks. It ensures reviewers verify correctness, security controls including AI-specific prompt safeguards, performance anti-patterns, and documentation across services, backends, and libraries.

The best way to structure code review feedback is to categorize findings into blocking issues, suggestions, and minor nits. This ensures critical correctness and security flaws are prioritized over stylistic or minor refactoring recommendations.

Yes, this code review checklist works for repository audits. It provides a repeatable structure to evaluate existing code quality, verify public API documentation, confirm test coverage for implemented logic, and identify performance anti-patterns across backends.

You need a structured checklist for code reviews when you want consistent evaluation of correctness, security, performance, testing, and documentation. It is useful for pull request reviews, repository audits, and assessing AI-assisted code generation across services.