code-review-checklist

A comprehensive code review checklist covers correctness, security vulnerabilities, performance bottlenecks, code quality, testing, and documentation to ensure robust software. This checklist provides structured guidelines for evaluating all these critical areas consistently.

To review AI and LLM code for prompt engineering safety, use a checklist addressing AI logic, hallucination handling, and prompt safety. This skill provides specific guidelines to identify common anti-patterns unique to LLM-related code implementations.

Standardize code review comments by adopting a structured comment guide and checklist format for all reviews. This skill facilitates consistent code quality assurance by providing a standardized format for review comments across correctness, security, and performance.

During a code review, look for common anti-patterns affecting code quality, security, and performance. This skill highlights specific anti-patterns to avoid, including those specific to AI and LLM logic, ensuring thorough quality assurance.

Yes, you can use this code review checklist for general software engineering without AI components. It provides detailed checklists for correctness, security, performance, code quality, testing, and documentation, with AI-specific checks serving as an optional layer.