code-review-checklist

To review code for security and best practices, compare your codebase against a predefined checklist assessing correctness, performance, testing, and documentation. This catches potential issues before merging by ensuring adherence to high development standards.

A comprehensive code review checklist includes criteria for correctness, security, performance, code quality, testing, and documentation. It also provides AI-specific review patterns for logic, hallucinations, prompt engineering, and anti-patterns.

To write effective code review comments, follow a simple guide using colored markers to categorize different types of feedback. This ensures clear communication and helps developers maintain high project standards during quality assurance.

Yes, a code review checklist can apply to AI prompt engineering logic. It includes AI-specific review patterns designed to catch hallucinations, verify logic, identify anti-patterns, and validate prompt engineering implementations.

You need a code quality checklist during software development when reviewing code contributions to catch potential issues before merging. It supports quality assurance and developer training by maintaining high security and best practice standards.

Code-review-checklist requires no external dependencies, but it needs the SKILL.md file to provide review instructions and criteria. It uses scripts and references to assess code against its predefined guidelines.