Developmentcode reviewPRquality

Pull request code review

Free, copy-paste AI prompt template. Works with ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot. Fill in the placeholders and run.

Prompt text

Review the following code as a senior [language / framework] engineer would in a pull request. Be specific and concrete — no generic best-practice lectures.

Code:
[paste your diff or full files]

Context (optional but helpful): [what this PR is meant to do, hot paths, risk level, runtime environment]

Go through these checks in order and only report findings that actually apply:
1) Bugs and logic errors (off-by-one, null/undefined, race conditions, async leaks, error swallowing).
2) Security: injection, XSS, SSRF, auth/permission gaps, secrets in code, unsafe deserialization.
3) Performance: unnecessary loops, N+1 queries, memory retention, hot-path allocations, blocking I/O on the main thread.
4) Correctness of edge cases: empty inputs, very large inputs, unicode, timezones, concurrent callers.
5) Readability: naming, function shape, missing tests, unclear abstractions, code that future-you will hate.

For each finding, output:
- Severity: blocker / major / minor / nit
- File and line range
- What is wrong, in one sentence
- Why it matters (the concrete failure mode)
- A suggested fix, as a code snippet

If the code is clean, say so plainly — but still leave one actionable suggestion for maintainability.
1,225 characters0/3 placeholders filled

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Prompt is copied to your clipboard automatically so it works even when the AI does not accept a pre-filled query.

When to use this prompt

The Pull request code review prompt sits in the Development category of the LAXIMA AI Prompt Library. It is designed for any task where you would otherwise spend 10–30 minutes drafting from scratch — instead, paste the template, replace the 3 placeholders, and ship.

Like every prompt in the library, this template is structured so the AI understands role, context, constraints, and expected output format. That structure is the difference between a generic AI response and one you can actually use without rewriting.

The placeholders to fill are: [language / framework], [paste your diff or full files], [what this PR is meant to do, hot paths, risk level, runtime environment].

Frequently asked questions

What is this pull request code review prompt for?

This is a free, copy-paste AI prompt template for "Pull request code review" in the Development category. Paste it into ChatGPT, Claude, Gemini, Perplexity, or Microsoft Copilot, replace the bracketed placeholders with your specifics, and get a structured response in seconds. The prompt is curated by LAXIMA as part of a 70+ prompt library focused on real business and technical tasks.

Which AI tools work best with the pull request code review prompt?

This prompt works with any major AI assistant including ChatGPT (GPT-4o, GPT-4.1), Claude (Sonnet 4.6, Opus 4.7), Google Gemini (2.5 Pro, 2.5 Flash), Perplexity, and Microsoft Copilot. For development tasks specifically, frontier-tier models tend to produce the highest-quality outputs — use the LAXIMA LLM Picker if you are unsure which model to pick.

Do I need to edit the placeholders in this prompt?

Yes. Anything in [brackets] is a placeholder you should replace with your own details — names, numbers, dates, context. The richer the placeholders, the better the AI output. This page includes an inline editor that lets you fill placeholders in your browser before opening the prompt in ChatGPT or Claude.

Is this prompt free to use commercially?

Yes. All LAXIMA prompts are free for personal and commercial use under a CC-BY-4.0 license. You do not need an account, and there is no usage limit. Attribution is appreciated but not required.

Why use a template instead of writing my own prompt?

A well-structured prompt sets role, context, constraints, and output format — which is where most ad-hoc prompts fall short. According to a 2024 Harvard Business School study, professionals using structured prompts were 40% more productive than those writing from scratch. Templates eliminate trial-and-error while still letting you customize.

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