How to review agent-generated GitHub Copilot PRs

How do I review agent-generated pull requests in GitHub Copilot now

Open the pull request, read Copilot’s review comments, inspect the diff and workflow files, then request changes with @copilot or push fixes yourself before merging. Copilot review is a review aid, not a replacement for your own check.

Start from the pull request itself. When Copilot finishes a coding task, GitHub opens the pull request and adds you as a reviewer. You can also request a review manually from the Reviewers sidebar, or via the REST API by requesting copilot-pull-request-reviewer[bot]. That gets the review into the same place you already use for human review.

Read the review comments like you would read a human reviewer’s notes. Copilot’s comments support reactions, replies, resolution, and hiding, and any replies you add are visible to other people, not to Copilot. If the comment suggests a change you want, apply it with the suggested-change controls or ask Copilot to fix it directly.

The part people miss is that Copilot can be asked to revise the same branch. Mention @copilot in a comment with the specific fix you want, or use the “Fix with Copilot” flow from a review comment when it is available. Copilot can then push new commits to the same pull request, which keeps the thread on one branch instead of starting over.

Review the code yourself before you approve anything. GitHub says Copilot pull requests deserve the same thorough review as any contribution, and that matters because the agent can still miss context, make a plausible but wrong change, or leave an edge case untested. A fast AI review is useful, but your merge decision still belongs to you.

Check the files that can change behavior outside the code path you were expecting. GitHub warns that Actions workflows do not run automatically by default when Copilot pushes changes, and workflow files in .github/workflows/ deserve extra attention because they can touch secrets and deployment steps. If you are comfortable with the branch, you can approve and run workflows from the merge box.

Watch the approval rules in your repository. If your repository requires pull request approvals, your approval of a Copilot pull request does not count toward the required number unless the repository or organization has explicitly enabled Copilot approvals to count. That is the detail that surprises teams during rollout, because the review can look complete and still remain blocked.

Use re-review when the branch changes. If you push new commits after Copilot has reviewed the pull request, it does not automatically re-review unless automatic review for new pushes is enabled. In the manual flow, request a new Copilot review from the Reviewers menu after your changes land, so the comments match the current diff.

If you want Copilot to review automatically, configure that at the right level first. You can enable automatic review for your own pull requests, for a repository, for an organization, or for an enterprise, and you can choose whether Copilot reviews new pushes and draft pull requests. That setup matters when you want review on every iteration instead of only when someone remembers to click Request.

Tune the review depth to match the branch. GitHub offers Lite and Balanced review effort levels, and Balanced is aimed at deeper analysis of complex logic, security-sensitive code, and cross-service changes. For a small refactor, Lite is enough. For an agent-generated branch that touches auth, rollout logic, or workflow automation, Balanced gives you a better first pass.

If the project uses repository context, make that context explicit. GitHub supports agent skills, custom instructions, and MCP servers so Copilot can pull in information outside the pull request, such as issue IDs, incident context, or internal documentation. That matters when the branch is technically correct in isolation but wrong for the system it has to fit into.

The inconvenient part is that a good review often takes two passes. First pass, read the agent’s comments and the diff. Second pass, run the branch through tests, linters, and any release checks your team uses. If anything touches workflow files, dependency updates, or security-sensitive paths, do not rely on the review comment alone.

A practical workflow is simple. Open the PR, request Copilot review if it has not run, read the comments, inspect the files changed, and decide whether to accept suggestions, ask @copilot to revise, or make your own commits. Then request re-review if the branch changed, and only merge after the branch and the checks still make sense together.

If the agent’s output is large, break the work up earlier next time. GitHub’s own guidance for AI-generated pull requests says review quality drops as PR size grows, and smaller dependent pull requests are easier to inspect and easier to send back for changes. That is the part teams usually learn after the first messy branch, not before it.

For the full GitHub flow, the shortest path is: request the review, read the comments, apply accepted suggestions, verify workflows and approval rules, then re-review after any new commits. If you want a place to organize the rest of your tester or launch workflow around that process, DevConnect keeps that exchange free and focused on real testing work: https://devconnectplatform.com.

What to check before merging

• The PR diff matches the task and does not introduce unrelated edits.
• Copilot’s comments were reviewed, not just dismissed.
• Workflow files were inspected before approving runs.
• Required human approvals are still satisfied.
• Any new commits got a fresh review if automatic re-review is not enabled.

Example of the right sequence

A Copilot task opens a PR that updates a service handler and a workflow file. You read the review, accept one safe suggestion, reject a risky workflow edit, comment @copilot asking for a narrower change, then re-review after the branch updates. Only after that do you approve the PR and, if needed, approve workflows.

What goes wrong most often

Teams merge too early because the review comments look clean. The failure is usually not the comments, it is the gap between the comments and the current branch. A fresh push, a workflow edit, or an approval rule can change the state of the PR after the review happened, so the last check has to be on the current diff.

FAQ

Do I have to request Copilot review manually every time No. You can enable automatic reviews for your own PRs, a repository, an organization, or an enterprise, and you can choose whether Copilot also reviews new pushes and draft pull requests.

Can Copilot’s approval satisfy branch protection rules Only if your repository or organization is configured to let Copilot approvals count toward merge requirements. GitHub also notes that, by default, a Copilot approval does not count toward the required number in repositories that require pull request approvals.

What should I do when Copilot’s review is outdated Push the new commits, then request a re-review from the Reviewers menu unless automatic review for new pushes is enabled. The key is to re-run the review against the current branch, not the earlier version of it.

Can Copilot review draft pull requests Yes, if you enable draft review in the automatic review settings. GitHub calls this out as useful for catching errors early, before you request a human review.

How do I know whether Copilot used repository context Check the attribution at the bottom of the review comment, or open the linked review session from the pull request timeline and inspect the session logs. GitHub says these attributions point to the specific agent skill or MCP server used.