You should use AI for reviewing code especially when the diff is huge
TLDR
A developer argues that reviewers should use AI to check large code diffs automatically rather than manually reviewing every line, since LLMs are already catching high-severity vulnerabilities. The suggestion is to let AI handle line-by-line nitpicking and reserve human review for architectural knowledge, codebase principles, and design patterns that only experienced team members know. This approach assumes code reviews aren't in safety-critical domains like embedded systems where every line matters.
Why it matters
LLMs now catch high-severity vulnerabilities making individual line reviews unnecessary, so a human code reviewer's role is now to transfer knowledge to the AI that it doesn't know. This workflow is best in places where each line of code isn't sacred.
