code-review-checklist

Standardize code review checklists by applying structured checks for correctness, security, performance, and documentation to every pull request. This enforces consistent review standards across projects, reducing defects and review time.

A code review checklist should include structured checks for correctness, security, performance, and documentation to identify maintainability gaps. It guides reviewers to assess code quality systematically, reducing defects and ensuring consistent standards.

Review LLM prompts for security risks by using AI review patterns to identify hallucinations, prompt-injection risks, and unsafe prompts. Applying this checklist to pull requests ensures structured checks for security and maintainability.

Yes, you can enforce documentation requirements in pull requests by applying a standardized code review checklist. It guides reviewers to assess documentation gaps alongside correctness and security, improving overall code quality.

The best way to streamline code reviews is applying a standardized checklist with structured checks for correctness, security, performance, and documentation. This guides reviewers to assess maintainability systematically, reducing defects and review time.

Yes, the code review checklist supports identifying AI hallucinations and unsafe prompts. It includes AI and LLM review patterns specifically designed to detect prompt-injection risks and unsafe prompts during the pull request review process.