AI Code Review Checklist

How to Build a Better AI Code Review Checklist AI writes code fast — that's not in question. The question is whether that code survives contact with production. This guide details how to build a better ai code review checklist to stop shipping garbage before your users find it. Skip the blind optimism. Treat every AI output as a pull request from a developer who never read your codebase, has no idea what your business does, and learned to code from Stack Overflow answers dated 2017. TL;DR: Quick Takeaways Tokens, not solutions: LLMs predict the next character; they do not understand your architecture. Happy path bias: AI skips edge cases, nulls, and failure states by default. Security amnesia: SQL injections and hardcoded secrets are common without explicit prompts. Bloatware: AI loves wrapping a one-liner into an enterprise abstract factory nightmare. The Illusion of Speed: Why AI Code Needs Manual Review Yes, LLMs pushed raw coding velocity up by 40–50%. But here is what nobody puts