AI-assisted coding optimizes for "it works," not "it fits our architecture" — and commit by commit, that erodes a carefully designed structure.

This session shows how to make your frontend architecture an executable contract that coding agents actually follow. The building blocks: Rules and architecture specs that carry your conventions into the agent's context, Skills for recurring tasks, and deterministic architecture checks wired into the agent's feedback loop through hooks, so every violation triggers an automatic correction round instead of silent technical debt.

Then we flip the perspective and let AI review the architecture, evaluating boundaries both heuristically (DDD, ubiquitous language, layering rules) and forensically which includes mining the Git history for change coupling, hotspots, and knowledge concentration.

You'll leave knowing how to wire architecture rules into your agents' feedback loop and how to let AI audit whether your boundaries still hold. Expect live demos throughout.