5 Best Claude Prompts for Code Reviews (2026)

Run a real code review with Claude — correctness, security, readability, and a reviewer-style summary — before a human ever sees your PR.

Verified against Claude Opus 4.8 on 2026-07-125 prompts🟠 Claude

Run = copies the prompt and opens the tool. Remix = save an editable copy to your workspace (free account).

1

Set the reviewer context

🟠 Claude

You are reviewing a pull request as a staff engineer on this codebase. Conventions: [PASTE STYLE GUIDE NOTES OR "infer from the code"]. The PR's goal: [ONE SENTENCE].

Here is the diff:
[PASTE DIFF]

First, restate what this change actually does in 3 bullets — if your restatement differs from the stated goal, flag the gap. Do not review yet.

Why this works: Claude holds large diffs in context and is unusually good at spotting goal/implementation drift.

Good output: Three bullets restating the change, plus any mismatch with the stated intent.

2

Hunt correctness bugs only

🟠 Claude

Now review ONLY for correctness: logic errors, race conditions, unhandled edge cases (empty, null, huge, concurrent, unicode), broken error handling, and off-by-ones. For each finding: severity (blocker/major/minor), the exact line, a failure scenario with concrete inputs, and a one-line fix direction. Skip style entirely.

Why this works: Separating correctness from style stops important findings drowning in nitpicks.

Good output: A severity-ranked findings list where every finding has a concrete failure scenario.

3

Security pass

🟠 Claude

Same diff, security hat on: injection, authz gaps, secrets in code, unsafe deserialization, SSRF, path traversal, and data exposure in logs/errors. Assume the attacker controls every input that crosses a trust boundary. Rate each finding: exploitable now / needs conditions / defense-in-depth.

Why this works: A dedicated security pass with an explicit attacker model finds what a general review misses.

Good output: A short list rated by exploitability — often empty, which is also worth knowing.

4

Readability and design

🟠 Claude

Last pass: will the next engineer understand this in 6 months? Flag: misleading names, functions doing 3 jobs, comments that lie, abstractions that leak, and anything that would force a future reader to open 4 files to understand 1. Suggest the single highest-impact simplification.

Why this works: Claude's long-context reasoning makes 'future reader' critiques concrete instead of vague.

Good output: A short list of maintainability flags plus ONE prioritized simplification.

5

Write the review summary

🟠 Claude

Combine all passes into a PR review I can post: a 2-sentence overall verdict (approve / approve-with-nits / request-changes), findings grouped by severity with line references, and one genuine positive note about the change. Tone: direct, kind, zero fluff.

Why this works: A structured summary turns the analysis into something you can actually ship to a teammate.

Good output: A paste-ready review comment a human reviewer would be glad to receive.

Frequently Asked Questions

Should AI review replace human code review?

No — run this before human review. It clears the mechanical findings so your human reviewers spend attention on architecture and product judgment, which AI is weakest at.

How big a diff can I paste?

Claude handles very large diffs, but review quality is best under ~1,500 changed lines per pass. Bigger PRs: split by file group and run the sequence per group.

Why Claude for this pack?

Long-context reasoning across a whole diff, and a noticeably lower false-positive rate on 'this looks wrong but isn't' patterns. ChatGPT works too — we verify against Claude.

Make this workflow yours

Remix this pack into your workspace — edit the prompts, track your runs, and never hunt for them in old chats again.

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