# Code Review Follow-Up

Replicas helps teams turn review comments, CI failures, and automated checks into fixes, tracker updates, and investigation notes.

- Canonical: https://tryreplicas.com/use-cases/code-review-follow-up
- Get started: https://tryreplicas.com/auth?mode=signup
- GitHub docs: https://docs.tryreplicas.com/features/github

## What is code review follow-up?

Code review follow-up is the engineering work that happens after feedback arrives on a pull request.

That work can be a code change, but it can also be a test run, reproduction note, investigation summary, tracker update, or recommendation for a reviewer.

## How Replicas follows up on review feedback

- **Feedback is captured:** A human review comment, failed check, or automation result creates a specific item that needs attention.
- **Replicas investigates before replying:** The agent reads the diff, surrounding code, logs, and project commands instead of guessing from the comment alone.
- **The PR gets a clear next step:** Replicas can push a fix, update a tracker row, explain why no code change is needed, or hand the decision back to a reviewer.

## Review feedback is only useful when someone acts on it

Teams already have many ways to produce feedback. The bottleneck is often the follow-up: understanding the issue, making the right small change, and proving the PR is ready for another review.

- **Feedback does not sit idle:** Review comments and failing checks become assigned work instead of waiting for the original author to return.
- **Repeated failures stay organized:** A tracker comment can collect every failure, status, and final note for the PR.
- **Small fixes are easy to delegate:** Follow-up work often has narrow scope: update a test, remove unused code, fix a type error, or handle a reviewer note.
- **Reviewers keep authority:** Replicas prepares the next step, but people still inspect the diff and decide what ships.

## What review signals can Replicas follow up on?

Replicas can follow up when feedback is concrete enough to inspect, reproduce, fix, test, or summarize.

- A reviewer requests a specific change
- A CI check fails after a push
- A DRY, unused-code, or framework-rule check fails
- A reviewer asks for a test or reproduction
- A migration or dependency update needs verification
- A PR accumulates multiple small comments
- A previous agent attempt needs correction
- A reviewer wants a concise investigation summary

## Follow-up outputs should match the task

A pull request update is common, but review follow-up can also be an investigation or verification task.

- **Comment fixes:** Targeted commits that address a reviewer note without broadening the scope of the PR.
- **CI follow-up:** An investigation of the failing check, a fix attempt, and a final tracker update.
- **Test and reproduction output:** A result that confirms behavior, captures failure steps, or explains why a change is risky.
- **Reviewer handoff:** A short summary of what Replicas tried, what changed, and what still needs a human call.

## How to evaluate code review follow-up automation

The right system should keep the PR context intact, make work visible, and avoid pretending that every review signal needs the same output.

- Can it read review comments, CI results, and repository context together?
- Can it update the original PR branch instead of creating unrelated work?
- Can it keep status updates in one visible place?
- Can it return investigation notes when code should not change?
- Can it handle narrow repo-specific checks?
- Can reviewers inspect and steer the work before merge?

## FAQ

### What is code review follow-up?
Code review follow-up is the work that happens after feedback arrives: fixing comments, investigating failures, running checks, replying to reviewers, or explaining why a change should not be made.

### Can Replicas fix code review comments?
Yes. When the feedback is actionable, Replicas can inspect the PR context, make targeted edits, run checks, and return the result for review.

### Can Replicas handle CI failure follow-up?
Yes. Replicas can track a failed check, inspect logs, attempt a fix, push changes, and update the PR with the final status.

### Does every follow-up need a pull request?
No. Some follow-up work should end with test output, reproduction notes, or a recommendation. The right output depends on the review signal.

## Related docs

- [AI code review agent](https://tryreplicas.com/use-cases/ai-code-review-agent): Understand the broader AI agent workflow for reviews, checks, and feedback loops.
- [Automated code review](https://tryreplicas.com/use-cases/automated-code-review): See how automated review findings can become action instead of comments only.
- [Cloud coding agents](https://tryreplicas.com/cloud-coding-agents): Learn why cloud workspaces are a good runtime for follow-up engineering tasks.
- [Automations docs](https://docs.tryreplicas.com/features/automations): Configure automations that respond to review and CI events.