When an AI-generated pull request (PR) fails continuous integration (CI) or includes code beyond the request, do not merge it just because the agent says it fixed the problem—or because an automated reviewer approves it. First identify what the failed check actually shows, compare the entire diff with the task, ask for the smallest justified correction, and validate that correction on the latest commit. Keep the repository’s human review and merge requirements in place.
Start with the failed check, not the agent’s explanation
A red check is a symptom, not proof that the changed code is at fault. The failure may be in the implementation or tests, but it can also come from environment setup, branch freshness, workflow configuration, or a check that was never reported correctly.
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- Open the failed check’s logs. Record the exact job, command, failing test or stage, and error message. Separate the first actionable failure from later errors that may only follow from it.
- Check whether the failure is reproducible. If the repository documents a command for the affected test or build, use it when possible. Report what you actually ran and what happened; do not say tests passed unless they were run. If the output points to a runner, dependency service, permissions, or other infrastructure issue, investigate that evidence rather than treating it as a code failure.
- Check the workflow and branch context. Confirm that the workflow ran for the PR and that its result applies to the latest commit. GitHub’s required-status-check guidance says required checks must pass for the latest commit; workflow trigger or filtering issues can also leave a required check pending or unreported. A merge queue may need a separate
merge_groupworkflow trigger. - Do not dismiss an unexplained red check. A flaky or infrastructure failure is possible, but it should be identified from the job output and context, not assumed because the code looks plausible.
GitHub’s documentation says, “Required checks must pass before the pull request can be merged.” That gate is useful only when the check is attached to the relevant commit and the workflow is configured to report the result.
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Review the whole diff for scope before asking for a fix
Read every changed file against the original request and the repository’s existing conventions. A PR can pass CI and still be the wrong change if it adds features the task did not request or reshapes unrelated parts of the project.
#1 Best Overall
- Does each changed line directly support the requested behavior or a necessary test?
- Are there speculative features, unrelated refactors, broad formatting changes, or unnecessary abstractions?
- Did the change add a dependency or alter a public interface without a clear need?
- Were assertions weakened, errors swallowed, or existing behavior changed merely to make a check pass?
- Do the tests follow the repository’s established practices and meaningfully exercise the requested behavior?
In a 2026 study of more than 33,000 agent-authored PRs across five coding agents, unmerged PRs tended to be larger, touch more files, and often fail CI. The authors also qualitatively analyzed 600 PRs and identified unwanted features and agent misalignment among rejection patterns. These findings describe the study’s datasets; they do not mean that every large PR is bad or that every rejected PR failed for the same reason.
Ask for a narrow, evidence-based correction
Give the agent the failure evidence and state what must change, what must remain unchanged, and how the result should be validated. Research on rejected agent fixes recommends supplying approach hints, constraints, and validation expectations. That is practical guidance, not a guarantee that a particular prompt will produce a correct patch.
For example:
“The
unit-testsjob fails intest_parser_handles_empty_inputwith [paste the relevant error]. The expected behavior is [state it]. Please make the smallest change needed in [relevant file or component]. Do not add dependencies, reformat unrelated files, or change public interfaces. Add or update a focused test and report the validation commands you ran and their results.”The Tool Desk
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Replace the bracketed text with the actual job output and expected behavior. If the diff contains unrelated changes, explicitly ask for those to be removed rather than leaving them for a later cleanup.
Validate the follow-up patch on the latest commit
- Inspect the new diff file by file. Confirm the correction addresses the demonstrated cause and that it has not introduced extra changes, weakened tests, or hidden an error.
- Run the relevant repository checks. Use the project’s documented tests and, where applicable, lint, build, and security checks. Distinguish checks you ran locally from checks that ran in CI.
- Verify the PR’s check status for its latest commit. A green result from an earlier commit does not establish that a later correction passed. Confirm required checks completed successfully on the current revision.
- Resolve pending checks through workflow diagnosis. If a required check remains pending or absent, inspect triggers, branch and path filters, permissions, and the check’s reported commit rather than treating silence as success. GitHub documents that merge-queue workflows may need to respond to the
merge_groupevent.
Use automated review as feedback, not a merge decision
Automated review can help surface possible issues or suggest changes, but its comments are leads to verify against the code and requirements. GitHub describes Copilot code review as identifying issues and suggesting fixes; its approval assessment alone does not count toward merge requirements. Keep independent human review and the repository’s required checks as controls.
GitHub’s published instructions say that pushing a new commit to a reviewed PR does not automatically trigger another Copilot review unless automatic review is configured; a review can be requested manually. GitHub’s March 24, 2026 changelog also announced a plan-dependent feature that lets users mention @copilot in a PR to ask it to fix failing GitHub Actions workflows or address review comments. The announcement said administrators might need to enable it and that PRs from forks were not supported at that time. Availability and limits can change, so check GitHub’s current product documentation and your organization’s settings before relying on that workflow.
GitHub also describes security checks for its cloud agent, including CodeQL, checks on newly introduced dependencies against the GitHub Advisory Database for malware advisories and high- or critical-severity CVEs, and secret scanning. Those GitHub-specific safeguards are not proof that a change is correct or a replacement for the project’s own checks; GitHub says draft agent PRs still require human review and merge.
Choose whether to merge, narrow the work, or close the PR
Make the decision on separate questions, rather than treating a green pipeline as a complete verdict:
Best Value
- Scope: Does every change belong to the requested task?
- Correctness: Does the patch address the observed failure without concealing it or changing unrelated behavior?
- Validation: Are the tests and checks appropriate, and did required checks pass on the latest commit?
- Review: Has a maintainer verified the behavior and satisfied the repository’s human review requirements?
Merge only when the change is in scope, the evidence supports its correctness, and the repository’s review and validation gates are satisfied. Request a narrower revision if the core fix is useful but the PR includes unrelated work. Close it if the approach does not meet the task or cannot be validated adequately.
A separate 2026 study of an AIDev sample reported that 46.41% of fixes in that sample were rejected. The analysis covered 306 non-merged PRs and described varied reasons, including incorrect implementations, CI or test failures, incomplete work, and low-priority fixes. That figure is specific to the studied sample—not an industry-wide rejection rate or a prediction for an individual PR.
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