Roll out AI code reviewwithout losing trust
A staged pre-merge gate: pilot on a few repos, measure false positives, publish triage norms, then tighten CI. CodeCritic covers the automated first pass - humans keep merge ownership on risky paths.
Start narrow
Pick two or three active repos, enable AI review in report-only mode, and keep branch protection unchanged until the team sees consistent signal.
Publish how to triage
Write what blocks merge versus what is advisory. When severity is visible, developers treat suggestions as review input instead of noise.
Gate after evidence
Promote to required checks only after staging metrics look sane: reopen rate, time-to-first-feedback, and override frequency on hotfixes.
Pre-merge gate runbook
Use this sequence as a checklist before you block merges on AI or CI review status.
- Automated first pass complete (Action, webhook, or API) - green or documented exception.
- Human CODEOWNER approval on auth, payments, migrations, and other high-blast paths.
- Tests cover the behavior change, or the PR links manual QA with an owner.
- Rollback story exists: flag, reversible migration, or a prepared revert.
- Security-sensitive surfaces called out in the description when logging or data movement changes.
Workflow
How teams wire it
- 1
Pilot week
Connect GitHub on a free or paid seat, run reviews on opened PRs only, and collect which findings authors dismiss as noise.
- 2
Norms doc
Add a short CONTRIBUTING note: who owns triage, when to request changes, and that AI never auto-approves merges.
- 3
Staging metrics
Track cycle time, reopen rate, and override count for two release trains before enabling fail-on blocking findings.
- 4
Tighten the gate
Mark the review job as required on protected branches, keep a labeled hotfix escape hatch, and expand repo coverage gradually.
Overview
How to earn trust for AI suggestions
Developers distrust tools that spam the thread or contradict local conventions. Keep early volume low, celebrate accurate catches in team chat, and fix prompt or policy knobs when the same false positive repeats.
Pair the pilot with the free tier or a single paid seat so cost is not the reason the experiment stalls. Expand seats after the workflow feels familiar.
Which CI signals matter before merge
Useful signals: tests green, lint/policy jobs green, AI review finished with no open blocking items, and required human approvals. Weak signals: commit count, author tenure, or “AI said LGTM” without a named reviewer.
Do not let CI alone skip human review on regulated or high-risk paths. Treat automation as a filter that frees reviewers for intent and architecture.
Checklist
- Report-only before blocking Do not fail CI on day one. Measure false positives with the same people who will live with the tool.
- CI is input, not ownership Green tests plus a clean AI pass can shorten queues; CODEOWNERS still decide on sensitive paths.
- One severity vocabulary Align blocking / should-fix / nit language between CodeCritic, PR templates, and reviewer habits.
- Document overrides Name who may merge on red during incidents and how follow-up reviews get filed afterward.
FAQ
Common questions
Pilot the gate on one team
Start free, connect a pilot repo, and follow the runbook before you block merges org-wide.