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Use AI-powered review

This guide shows you how to have reviewer agents review a pull request and how to publish the result to GitHub.

  1. Open the PR and go to its Overview tab
  2. Open the ⋯ overflow menu in the action row and choose Ask AI

The item only appears while the PR is open — it is a pre-merge action. The same button is offered as Ask AI on the Review tab’s empty state, before any review exists.

Control Center starts the seeded pr_review pipeline and navigates you to its run page so you can watch it. The pipeline:

  1. Opens the PR’s own review space, whose isolated worktree has the PR checked out at its head
  2. Fans out the reviewers for the workspace’s review level — three by default (the seeded qa, architect and engineer agents, in parallel). There is no language or domain detection
  3. Has the lead (CEO) agent consolidate their findings into a walkthrough
  4. Finalizes: sorts the findings into consensus buckets and computes the verdict, and the status bar on the Review tab flips to Awaiting your approval

How deep the review goes is the workspace’s review levellight (one reviewer), balanced (three, the default) or thorough (all five, adding the security and performance specialists) — set at Settings → Workspace → Workspace policy → Review level. A lighter level files just as many findings; it reports fewer of them front and centre.

All the reviewers post into the PR’s single review space, which is what makes their findings comparable. See AI review for how the pieces fit together.

pr_review ships with a manual trigger only. To have it fire on every published PR, add a trigger yourself — see Dispatch reviewer agents. You can also start one from GitHub itself, no pipeline trigger needed: mention the server’s bot on the PR or add the ai-review label — see Talk to Control Center from a GitHub PR.

If the toast says the run is a duplicate, a review is already in flight for this PR; open Pipelines to find it.

Reviewers record findings as review nodes in the review space. Each carries:

Field Description
Kind bug, suggestion, recommendation, question or ticket
Priority P0 (critical) → P3 (nit)
Axis Which review axis the finding belongs to
File and line Where the finding is anchored
Original code The code the finding is about
Suggested code The proposed fix
Confidence How confident the reviewer is
Status openconsensus-readyresolved or dismissed

A finding only reaches consensus-ready once a peer reviewer confirms it. An agent cannot confirm its own finding, so a single reviewer’s opinion never graduates on its own.

The Review tab shows the findings list, filterable by kind and status, with a toggle for dismissed findings, beside the artifact the consolidating agent published. The deterministic view — cohorts, the multi-axis dashboard, contract and visual diffs — is computed server-side but has no surface in the app; see Review Studio for what exists and where.

When two reviewers anchor findings to the same file and line but rate them very differently — priorities two or more levels apart, or one calls it a bug while the other calls it a suggestion — a disagreement panel appears above the findings list. Read those first: they are where the reviewers’ opinions diverge and your judgement is worth the most.

When the lead agent finalizes, it computes a verdict:

Verdict Meaning
Ship Nothing blocking found
Hold Issues that should be addressed before merge
Block Critical issues that must be fixed

The verdict carries an aggregate confidence score and per-priority finding counts.

The review axes then fold into it and they can only make it more severe. A gated axis that fails forces Block; a gated axis that could not complete (partial) or could not run at all (unavailable) forces at least Hold. Absence of evidence never clears a gate.

Publishing is a separate, deliberately user-gated step. The pr_review pipeline does not post to GitHub — the old “post PR comment” step was removed so a review cannot double-publish.

  1. On the Review tab, wait for the status bar to read Awaiting your approval
  2. Press Publish to GitHub

Control Center sends one GitHub review. Findings already resolved or dismissed are skipped and only findings a peer confirmed are included. Those that carry a file and line anchor become inline comments; everything else folds into the summary body, each with a “— Control Center AI review” footer so the source is unambiguous. A Block verdict is submitted as REQUEST_CHANGES; anything else is submitted as COMMENT — the bot never approves on your behalf. The status bar then flips to Published.

If GitHub rejects an inline anchor because the line is not part of the diff, the whole review is re-sent with every finding folded into the body, so nothing is silently dropped.

Other built-in pipelines do post to GitHub directly: cross_review, pr_triage, ticket_to_pr and pre_merge_gate each end in a comment step. Only pr_review holds its output back for you.

For control over which roles review the PR and which files each one looks at, use the dispatch_reviewers MCP tool inside an existing review space, or add reviewer nodes to a pipeline. Both paths, with the tool’s exact signature, are in Dispatch reviewer agents.