How I Validate Quality When AI Agents Write My Code

Someone asked me the best question after I posted about managing AI agents like a dev team : And how do you validate quality? Fair point. If AI is writing the code, who's making sure it actually works? My solution: a system of enforced gates that makes shipping bad code harder than shipping good code. Here's how I built that system. The Mental Model: Quality Is a Pipeline, Not a Checkpoint Often we think of quality as something you check at the end. Run the tests. Do a code review. Ship it. But we have already learned this lesson with SDLC / SSDLC: security and quality must be embedded in every phase, not bolted on at the end. The same principle applies when AI writes the code. The difference is that you can't rely on AI agent developer discipline to follow the process. Your AI framework must enforce it through gates that agents cannot bypass. AI agents can produce plausible-looking code that passes superficial inspection but drifts from requirements, violates architecture patterns, or