code-review-checklist

To standardize code reviews, apply a structured checklist assessing correctness, security, performance, testing, and documentation to ensure consistent feedback across pull requests.

During a code review, flag common anti-patterns using guidelines that include AI and LLM review patterns, prompt engineering checks, and security pitfalls to avoid.

Yes, you can use this code review checklist across different programming languages because it focuses on language-agnostic criteria like correctness, security checks, and code quality.

The best way to guide an AI or LLM code review process is using structured guidelines for prompt engineering and evaluation to standardize the assessment of generated code.

You do not need external static analysis or linting tools to perform this code review, as it provides a standalone structured checklist to manually enforce best practices.