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.

1. Feedback is captured

   A human review comment, failed check, or automation result creates a specific item that needs attention.

2. Replicas investigates before replying

   The agent reads the diff, surrounding code, logs, and project commands instead of guessing from the comment alone.

3. 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.

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.

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

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.

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?

• AI code review agent

  Understand the broader AI agent workflow for reviews, checks, and feedback loops.

• Automated code review

  See how automated review findings can become action instead of comments only.

• Cloud coding agents

  Learn why cloud workspaces are a good runtime for follow-up engineering tasks.

• Automations docs

  Configure automations that respond to review and CI events.