AI Pull Request Review: Findings With Repro Evidence
A code review should help a maintainer decide whether a change is safe to integrate. Give AI the exact base and head revision, project instructions and the relevant diff. Ask it to inspect callers and data flow, then report concrete problems with a trigger, effect and useful verification step.
Download the task worksheet
The brief fields, prompt and review checklist in one editable Markdown file. No account is needed to download it.
Blank planning worksheet with an illustrative example. AI generation is a separate account action.
No. The Markdown worksheet is a free planning file. Brainbaby generation, editing, model usage and exports follow the current account plan, job quote and feature availability.
Prepare these inputs
01
Identify repository, base and head revisions and the intended behavior change. Confirm access to the actual files and keep unrelated dirty work or secrets out of the review material.
02
Supply relevant instructions, the diff, surrounding code and existing test results. State which checks were run by you, by CI or not at all.
03
Define review priorities such as authorization, data loss, compatibility and the affected user journey. Keep cosmetic preferences separate from integration-blocking defects.
A prompt you can adapt
Prompt
Review [base..head diff] with [instructions and context]. Trace affected callers and report only actionable findings with file, trigger, impact and a verification suggestion. Separate confirmed defects, open questions and optional style notes. Do not invent test execution or approve inaccessible code. Summarize actual validation and remaining limits before any merge decision.
Worked example — illustrative, not a customer result
Illustrative change removes an ownership filter from a record lookup. The review traces the caller and asks whether another authorization check still enforces ownership. If no guard exists, it describes a concrete cross-user access scenario and a focused test. It does not label every untested line a security vulnerability or claim a test ran merely because it proposed one.
Acceptance checks before delivery
01
Are findings grounded in the actual diff and reachable code path, with a concrete trigger?
02
Are severity, effect and verification clear without speculative accusations?
03
Are source inspection, executed tests, CI status and production evidence distinguished?
A mistake to avoid
Do not merge based solely on a confident AI approval. Review the diff and meaningful checks, preserve authorization and data-integrity constraints, and keep deployment as a separately authorized operation.
From the brief to a usable deliverable
Start by pasting the brief into chat and ask for missing information before a draft. Keep source facts, assumptions and open questions separate. Review the draft, then move approved material into the relevant workspace. A well-written answer is a starting point; inspect the actual document, slide, image, video or code before handing it over. Signing in preserves the workspace destination linked from this guide; it does not submit a paid generation automatically.
For work across India and Pakistan, write instructions in the language you use comfortably, then specify the delivery language. Confirm names, Indian or Pakistani numbering conventions, currency, date format and the client’s time zone. Hindi and Urdu versions of this guide are available below; page translation does not mean every signed-in app screen is translated.
Free chat has usage limits. New accounts do not receive free image-generation or image-editing attempts. Media uses the applicable image or video balance and the price shown for the selected job; the balances are separate. Builder work follows current plan usage. Check the live plan and checkout before buying; this guide does not promise a fixed INR or PKR price, local payment-method support or unlimited output.
Remove passwords, bank details and unrelated personal information before uploading material. Only share files and client data you are allowed to use. AI can omit context or invent details; approval and publication stay with you.
Before you start
Does this guide guarantee a client-ready result?
No. It provides a task brief, an illustrative example and acceptance checks. Verify source facts and the actual exported result. Paid access does not guarantee accuracy, acceptance, search rankings or client revenue.
Is the worksheet the same as free AI generation?
No. The Markdown worksheet is a free planning file. Brainbaby generation, editing, model usage and exports follow the current account plan, job quote and feature availability.