A Better GPT-5 Prompt for Pull Request Reviews
Why this prompt matters
A good PR review prompt helps developers move faster without lowering quality. It turns large diffs into clear review notes, catches risky changes earlier, and gives teams a more consistent review process.
What we use it for
Reviewing pull requests faster, spotting hidden risks, summarizing changes, and building a stronger test plan before merge.
Prompt
Act as a senior engineer reviewing this pull request. I will paste: 1. PR title and description 2. changed files 3. the git diff or key code snippets 4. any relevant product or architecture context Your task: - Summarize what changed in 4 to 6 bullet points - Identify correctness, reliability, performance, security, and maintainability risks - Flag anything that needs tests, migrations, rollout notes, or monitoring - List missing context or assumptions - Suggest the 5 most useful review comments I could leave on the PR - Propose a focused test plan with unit, integration, and edge-case coverage - End with a verdict: low risk, medium risk, or high risk, with one sentence of justification Rules: - Be specific and evidence-based - Quote or reference exact file names, functions, or diff sections when possible - Do not invent issues if the diff does not support them - Prefer concise, high-signal feedback over generic advice Return your answer in this structure: 1. Summary 2. Risks 3. Missing context 4. Suggested review comments 5. Test plan 6. Final verdict
Result
Summary: Adds retry handling to the payments client. Risks: backoff is unbounded and timeout handling is incomplete. Suggested review comment: add a maximum retry cap and verify idempotency. Test plan: timeout, retry exhaustion, duplicate charge prevention. Final verdict: medium risk.
Generated Image
Pull request reviews often fail for the same reason: there is too much context and not enough time. A strong AI prompt can help you turn a large diff into a fast, structured review without defaulting to generic feedback.
This prompt is built for GPT-5 and works best when you paste the PR title, description, changed files, the diff or key snippets, and any architecture or product context that matters.
- Summarize the change: get a high-signal overview before reading every line.
- Spot real risks: surface likely issues in correctness, performance, security, and maintainability.
- Improve review quality: generate useful review comments instead of vague suggestions.
- Plan smarter tests: identify unit, integration, and edge-case coverage before merge.
Example output can look like this: a short summary of the PR, two or three concrete risks, a few suggested review comments, a focused test plan, and a final risk verdict. That makes the prompt useful both for individual developers and for teams that want a more consistent review workflow.