Can AI replace a human code reviewer?

No — but it's a strong first pass that catches obvious issues before a human looks, so reviewers spend their time on judgment calls instead of nitpicks.

What makes a good code-review prompt?

Clear priorities (correctness over style), explicit context about the change, and a request for reasoning. The prompts here are built that way.

Does it work on any language?

Yes — the prompts are language-agnostic; you paste the diff and the model reviews it. Results are best when you include enough surrounding context.

AI Code Review Prompts

Prompts that review a diff like a senior engineer — catching real bugs, not nitpicks — and explain why each change matters.

What to know

A good code review finds the bug that ships, not the missing semicolon. These prompts review a diff or pull request the way a senior engineer would: prioritising correctness, edge cases, and security over style. They explain the reasoning behind each comment so you learn, not just patch. Each one is attached to a real project and runs on the model of your choice.

3 prompts for code review

Code review that catches real bugs

✓ Verified

Paste a diff and get a review focused on correctness, edge cases, and security — not nitpicks. Flags the few things worth blocking on.

CLAUDE-OPUS-4-700by Oort

Onboard me to an unfamiliar codebase

Paste a README and the top-level file tree. Get a plain-English map: what the repo really does, the files that matter most, the request lifecycle, and a safe first task.

CLAUDE-OPUS-4-700by Oort

Senior code review for a pull request

Paste a diff and get a prioritized review: correctness bugs first, then security, then maintainability. Cites exact lines, proposes fixes, and skips nitpicks unless they hide a bug.

GPT-500by Oort

Code Review prompts — FAQ

Can AI replace a human code reviewer?: No — but it's a strong first pass that catches obvious issues before a human looks, so reviewers spend their time on judgment calls instead of nitpicks.
What makes a good code-review prompt?: Clear priorities (correctness over style), explicit context about the change, and a request for reasoning. The prompts here are built that way.
Does it work on any language?: Yes — the prompts are language-agnostic; you paste the diff and the model reviews it. Results are best when you include enough surrounding context.