code-review-checklist

To standardize code reviews for security and quality, apply a structured checklist covering correctness, security, performance, testing, and documentation to evaluate pull requests consistently. This enforces structured reviewer actions like defect blocking and suggestion stratification across backend, frontend, and infrastructure codebases.

When reviewing AI-integrated code for prompt safety, check for hallucination risks, chain-of-thought vulnerabilities, and input sanitization. Use specific AI review patterns to evaluate prompt-safety checks and identify AI-specific risks during source code audits.

The best way to format code review comments for actionable feedback is using standardized blocking, suggestion, nit, and question formats. Standardizing reviewer feedback makes pull request comments consistent and actionable across the team.

Yes, you can use a code review checklist for infrastructure and frontend codebases. The guidelines apply across backend, frontend, and infrastructure codebases to identify correctness issues, security flaws, and performance regressions during code audits.

To onboard new reviewers with consistent code review guidelines, provide a comprehensive checklist covering correctness, security, performance, code quality, testing, and documentation. This standardizes PR reviews and enforces structured reviewer actions like defect blocking and test coverage requirements.