Overview
Every automated reviewer creates another review problem: who checks the reviewer? That does not make automation pointless. It means trust should be earned through sampling, evidence, and continuous observation rather than assumed.
Removing all human review may save time while destroying insight into the system. Even when low-risk work is auto-merged, the team still needs summaries, samples, and trend information to understand what agents are changing.
A change that appears trivial can still have hidden effects. Risk classification should therefore be based on observed performance and explicit evidence, not the agent's confidence alone.