Last reviewed: 2026-07-16
Direct answer
Treat pull request feedback as a queue of small follow-up tasks, not as one vague request to “fix the review.” Start by grouping review comments by file, behavior, and risk. Then give the coding agent one bounded task with the relevant comments, the files it may inspect, the checks it should run, and the evidence it must return.
A good follow-up brief has five parts: the review comments to address, the intended behavior after the change, setup assumptions, validation commands, and a pass/fail log. This keeps the agent focused on review resolution instead of broad cleanup.
Smoke-test workflow
Setup assumptions:
- The pull request branch is checked out locally.
- Review comments have been copied with file paths, line references when available, and reviewer intent.
- The agent can read the repository instructions used by the project.
- The agent has permission to edit only the files needed for the follow-up.
Happy-path request plan:
- Ask the agent to restate the review comments as a short checklist.
- Ask it to change only the files needed to satisfy that checklist.
- Ask it to run the smallest relevant verification command available in the project.
- Ask it to return the changed files, checks run, and unresolved comments.
Error-path check:
- Include one intentionally out-of-scope comment, such as a request to refactor an unrelated module, and verify the agent declines or parks it instead of expanding the change.
Minimum assertions:
- Each addressed review comment maps to a changed file or an explicit non-code explanation.
- The agent reports the verification command it ran and the result.
- The final response names any comment that still needs a human decision.
- The diff does not include unrelated formatting, broad rewrites, or credential-like values.
Pass/fail logging fields:
run_id: "pr-feedback-follow-up-placeholder"
pr_reference: "owner/repo#123"
review_comment_count: "3"
addressed_comment_count: "2"
parked_comment_count: "1"
changed_files: "src/example.ts, tests/example.test.ts"
verification_command: "project-specific test command"
verification_result: "pass_or_fail"
unresolved_decision: "placeholder human decision needed"
Do not assert model quality, reviewer approval, production readiness, cost, latency, uptime, or security coverage from this smoke test alone.
Who this is for
This guide is for maintainers who use coding agents after a pull request review and want the follow-up to stay small enough for another reviewer to trust. It pairs well with How to Hand Off Coding Agent Pull Requests for Review when the original pull request already has a review thread and the next step is targeted repair.
Key takeaways
- Convert review comments into a checklist before asking an agent to edit code.
- Keep the follow-up bounded by files, behavior, and validation commands.
- Separate comments that require a code change from comments that require a maintainer decision.
- Ask for evidence in the final response: changed files, checks run, and remaining review risks.
- Do not let a review follow-up become a broad refactor unless the reviewer explicitly asked for that scope.
Failure modes
- Evidence gap: the agent cannot inspect the failing log, source page, pull request, or local command output. The safe action is to stop and record the missing evidence instead of guessing.
- Scope drift: the agent edits files that are not connected to the observed failure. Keep the repair tied to the failing signal and leave unrelated cleanup for a separate task.
- Environment mismatch: the local check uses different versions, credentials, feature flags, or runtime settings than the hosted path. Record the mismatch before treating the result as proof.
- Unreviewed fallback: the agent changes models, endpoints, permissions, or retry behavior to make a run pass without preserving the review boundary. Treat access and provider failures as operational blockers, not topic failures.
- Weak handoff: the final note says the issue is fixed but omits the command, result, changed files, and remaining uncertainty. That makes the next operator repeat the investigation.
Sources checked
- GitHub pull requests documentation - accessed 2026-07-16; purpose: verify pull request review and collaboration boundaries.
- OpenAI Codex AGENTS.md guidance - accessed 2026-07-16; purpose: verify repository instruction-file context for coding agents.
- Official source evidence 3 - accessed 2026-07-16; purpose: verify source-backed claims for this guide.
- Claude Code memory documentation - accessed 2026-07-16; purpose: verify project memory and instruction-file context for agent workflows.
Contract details to verify
| Area | What to verify | Source URL | Accessed | Safe candidate wording |
|---|---|---|---|---|
| Pull request review context | Review comments are part of the pull request collaboration workflow and can be incorporated into branch changes. | https://docs.github.com/en/pull-requests | 2026-07-16 | “Use pull request comments as the input queue for a focused follow-up task.” |
| Branch isolation | Pull request work is proposed on a branch and reviewed before merge. | https://docs.github.com/en/pull-requests | 2026-07-16 | “Keep the agent on the pull request branch and verify the resulting diff.” |
| Repository instructions | Coding agents may rely on repository instruction files for project rules and working conventions. | https://github.com/openai/codex/blob/main/docs/agents_md.md | 2026-07-16 | “Include the project instruction file in the agent’s context before asking it to change code.” |
| Agent execution behavior | Claude Code documentation describes coding agents reading codebases, editing files, running commands, and creating pull requests. | https://code.claude.com/docs/en/overview | 2026-07-16 | “Ask the agent to return the files changed and checks run.” |
| Persistent project guidance | Claude Code memory documentation describes project instruction files and the need for concise, specific instructions. | https://code.claude.com/docs/en/memory | 2026-07-16 | “Write follow-up instructions as concrete, verifiable steps.” |
Reader next step
Compare the workflow against Start with CometAPI .
FAQ
How much pull request feedback should go into one agent task?
Use one agent task for a small cluster of related comments. If comments touch unrelated files, different behaviors, or different risk areas, split them into separate follow-ups.
Should the agent answer every review comment directly?
It should either make a change, explain why no change was needed, or mark the comment as needing a maintainer decision. Silent omission makes the follow-up hard to review.
What should I include when copying review comments into the task?
Include the comment text, file path, line reference when available, the expected behavior, and any constraint from the reviewer. Avoid copying unrelated conversation history.
What if the agent finds a bigger problem while fixing the review?
Ask it to stop and report the larger issue separately. A review follow-up should not expand into a broad rewrite unless the maintainer approves that new scope.
What evidence should come back with the final response?
Require changed files, the checklist of comments addressed, commands run, results, and any remaining decision points. That gives the next reviewer a compact path through the follow-up.