AI Agents Need Independent Reviewers, Not Self-Checks, Developer Finds

A developer migrating an enterprise healthcare platform across four major Angular versions (11 to 15) used a structured multi-agent system to manage AI-assisted code changes safely. The system separated roles into an executor agent, a reviewer agent working in a separate context, a test agent, and a visual regression agent — with no agent permitted to validate its own output. This design was inspired by accounting and audit controls, such as the principle that the person who writes a check should not also sign it. The developer observed that a reviewer agent evaluating code it did not produce behaved differently and flagged substantive issues that led to real changes. The key takeaway is that independent review — whether human or AI — reduces the risk of an agent hiding errors rather than genuinely fixing them.