The AI-Generated Pull Request: What Should You Check?
A concrete checklist for evaluating an AI-generated pull request before merging it, covering scope, correctness, and hidden side effects.
Scope before substance
Before reading a single line of diff, check whether the pull request actually stays within the boundaries of the task it was given. Agents sometimes wander, fixing an unrelated lint warning, renaming a variable it found confusing, or refactoring a function that was not part of the ask.
Unrequested changes are not automatically bad, but they need to be flagged and reasoned about separately, because they were not the thing you evaluated when you assigned the task, and they may carry risk you have not budgeted review time for.
The specific things worth checking
Confirm the PR includes or updates tests, that CI actually ran and passed rather than being skipped, and that the commit history is coherent rather than a pile of undone-and-redone changes that suggest the agent was flailing before it converged.
Read the PR description against the actual diff. Agents can produce a description that summarizes intent accurately while the code does something subtly different, especially on multi-file changes where it is easy to lose track of one edge case.
- Diff stays within the requested scope
- Tests were added or updated, not just left unchanged
- CI ran clean, not skipped or force-merged
- PR description matches what the diff actually does
- No secrets, credentials, or debug code left in
Treat it as a draft, not a delivery
The healthiest mental model is that an AI-generated PR is a strong first draft from a contributor who cannot be asked follow-up questions about their reasoning in real time, so you have to verify intent from the artifact alone. That changes what ready to merge actually means.
If something looks off, it is faster to re-prompt for a narrower fix than to hand-edit a large AI-generated diff into correctness. Use your review to identify exactly what is wrong, then let another pass address it rather than patching around unclear code.
Key takeaways
- Apply one concrete change from this post before collecting more reading.
- Prefer browser-side tools when the work involves secrets, tokens, or PII.
- Document the why next to the how so the next reviewer inherits context.
FAQ
- Who is this guide on ai for?
- Working developers who need a practical take on the ai-generated pull request: what should you check? — not a marketing overview. Skim the sections, apply one tip, then come back when you hit an edge case.
- Do I need an account to use the related tools?
- No. code.live tools run in your browser with no signup. Nothing you paste is uploaded to a server for the client-side utilities linked from this post.
- How often is this article updated?
- This post was published October 19, 2026. Fundamentals stay stable; check linked tool pages and official docs when version-specific behavior matters.