Overview
Without progressive automation, the volume of agent-produced code can overwhelm reviewers. The solution is not to stop reviewing. It is to use AI and automation to prepare the evidence, classify risk, and reduce the cost of human judgment.
Without observability, the harness cannot improve. If every automatically accepted change disappears into production, the team loses the information needed to understand recurring mistakes, false approvals, and weak procedures.
Failure analysis creates compounding value. A discovered bug can lead to a new test, a stronger review procedure, a recurring security scan, a better staging process, or a codebase refactor. The individual fix resolves the current incident. The process change reduces the chance of the same class of incident returning.