How to Review an Agent-Written Pull Request

How do I review a pull request written by an agent

Review an agent-written pull request the same way you review any other code change, but assume the author can be confident without being correct. Start by reading the PR description, then compare it to the issue, task, or bug report that asked for the change. If the goal is unclear, stop there and ask for a better summary before you spend time on the diff.

The first pass is about intent, not style. Ask what the change is supposed to do, what it should not do, and which parts of the codebase it touches. GitHub pull request reviews support comments, suggestions, approvals, and change requests, and protected branches can require an approving review before merge. That makes the review decision part of the workflow, not an afterthought.

Read the diff in small pieces. Agent-written PRs often make several unrelated edits in one branch, which makes it hard to tell whether a good-looking file hides a bad change in another file. If the PR is too large to understand in one sitting, ask for it to be split into smaller pull requests. GitHub explicitly supports stacked pull requests for large connected changes.

Check the change against the test plan, not just the code. A useful PR should say how it was validated, and your job is to verify that the validation matches the risk. If the change affects behavior, run the relevant tests locally or in the repository’s normal CI path. GitHub documents checking out pull requests locally to resolve conflicts, test changes, and modify code before pushing fixes.

Look for code that is correct in the happy path and wrong everywhere else. Agents often produce narrow fixes that pass the obvious case and miss null input, empty lists, permission checks, race conditions, time zones, retries, pagination, and error handling. Review every new branch condition and every new return path. If the code adds a helper, verify that the helper is used everywhere it should be and nowhere it should not.

Pay special attention to the boundaries between files. Agent-written PRs often update a function and forget the caller, or update the caller and forget the contract. Check API signatures, environment variables, schema changes, config files, tests, docs, and release notes together. A change is only complete when the code, the tests, and the surrounding instructions all agree with each other.

Use line comments for concrete problems and keep them actionable. GitHub reviews let you leave general feedback, file-level discussion, and line-specific suggestions, and a suggestion block is the right tool when you know the replacement. Say what is wrong, why it matters, and what to change. “This is confusing” is weaker than “This function returns early on an empty list, but the caller still expects a metrics event, so the event never fires.”

Separate code quality from correctness. A PR can be elegant and still unsafe, or messy and still acceptable. The first question is whether the change is right. The second question is whether it is maintainable. If the change is correct but hard to read, ask for names, comments, or smaller functions. If the change is readable but wrong, request changes.

Do not approve just because the agent added tests. Read the tests as evidence, not decoration. Look for weak assertions, duplicated implementation logic, or tests that only assert one path through a function. A test that copies the production algorithm can pass while proving almost nothing. Strong tests fail when the intended behavior is broken, and they still fail after a superficial rewrite.

If the PR touches a protected branch, treat merge readiness as a real gate. Branch protection can require approvals and passing status checks, and reviews can be dismissed when later changes make them outdated. That means you should review the current head commit, not the first version you saw. If the author pushes more code after your approval, re-read the changed lines before merging.

A good review leaves the author with a clear decision path. Approve when the change does what it claims, the tests cover the risk, and the remaining issues are cosmetic. Request changes when the behavior is wrong, incomplete, or too risky to merge. Comment without blocking when you want a follow-up but do not want to stop release. GitHub’s review states map cleanly to those choices.

The part people get wrong is trusting the agent’s confidence instead of verifying the system impact. A polished diff can still break a payment path, leak a secret, or silently skip validation. Read from the user outward: what changes in the product, what breaks if the new code fails, and what happens when input is weird or missing. That habit catches more real bugs than line-by-line style notes.

The inconvenient part is that reviewing an agent-written PR often takes longer than reading a human-written one, because the code may be syntactically neat but semantically shallow. Expect to trace the change across files, run the app, and inspect failures yourself. If the PR cannot be understood without guessing, the fix is not “trust the agent more”, the fix is a clearer branch, a smaller diff, or a better task prompt.

A practical review sequence looks like this: read the summary, compare it to the issue, scan the diff for scope creep, run the main test path, inspect edge cases, then decide approve or request changes. If something is unclear, ask one precise question before you spend more time. If you find one serious bug, keep going. Agent-written changes often have a second bug in the same area.

For teams using DevConnect, the same standard applies when you trade reviews with another builder. The review is useful when it catches a real problem before merge, not when it merely confirms that code exists. You can keep that exchange organized on https://devconnectplatform.com, then apply the same discipline to the PR itself: read, test, challenge, decide.

A final rule helps here: review the outcome, not the origin. If the PR came from an agent, a junior developer, or a senior engineer, the question is the same: does this change do the right thing safely, and can the next person maintain it without guesswork If the answer is no, the PR needs more work before merge.

FAQ

Should I tell the author that the PR was written by an agent Not unless it affects the review process or the team already uses that context openly. Review the code, the tests, and the risk. The source of the change matters less than whether the change is correct and maintainable.

What is the fastest useful review on an agent-written PR Read the description, inspect the changed files, run the main test path, and check the edge cases that the diff creates. If any part of the change is hard to explain back in one sentence, slow down and review that area first.

When should I block the merge Block it when the change is wrong, untested for the real risk, unsafe for users, or unclear enough that you cannot tell what it will do in production. Use request changes for issues that must be fixed before merge, not for minor preference notes.

What should I do if the agent added a lot of tests but the code still feels risky Read the tests for meaningful failure detection, then test the behavior yourself if the risk matters. Tests that only mirror the implementation do not prove much. If the change still feels risky after that, ask for a smaller PR or a clearer validation story.

Do I need to review the whole PR again after new commits Yes. Review the changed lines again, then check whether the new commits altered the behavior, tests, or merge risk. Old approvals can become stale when the branch changes, especially under branch protection rules.

Is it enough to trust CI if all checks pass No. CI proves the repository’s tests passed, not that the feature matches the intent or covers every edge case. Use CI as evidence, then inspect the diff and the behavior yourself before approving.