“Looks good to me” is not a QA strategy for AI-generated changes

Short answer: Designers and PMs should not need to read every line of a massive diff to know whether the AI built the right thing. Crew Orbit exposes runs as cycles, roles, and steps. Cross-functional partners review decisions and outputs. Engineers still judge architecture and merge risk on the code itself.

Review the plan, not only the patch

Black-box pull requests waste senior attention. They freeze out everyone who lacks time for code archaeology. Structured runs make intermediate artifacts visible. You can see what the planner assumed. You can see what the spec proposed. You can see how QA challenged the result.

When debate happens at those layers, code review becomes confirmation instead of discovery.

Use comments and mentions where runs already live

Task comments support @mentions and integrate with the notification inbox. Run conversation uses the task thread plus run selectors and deep links. Feedback stays attached to the same work item as attachments and acceptance context.

Feedback can steer another execution attempt. It does not spawn silent local retries nobody else sees.

Multidisciplinary ownership clarifies accountability

Designers validate user flows and visual intent. PMs validate problem fit and edge cases. Engineers validate feasibility, operations, and security posture. Each group addresses the layer it understands best.

That division of labour scales better than pretending every reviewer is interchangeable.

Make AI review a team surface

If you want cross-functional visibility without code tunnel vision, join early access at crew-orbit.com.