Micky, a full-stack engineer who has taught over 100,000 people to build with AI, lays out a four-step agentic workflow designed to stop AI-generated code from becoming garbage: isolate every task, build to a clear structure, prove it through validation loops, and ship only after agents review pull requests or escalate to a human.
The framework is not theoretical. Micky walks through how to run multiple agents in parallel without losing control, how structure prevents agents from drifting into slop, and why the review-or-escalate gate at the end is the difference between a real product and a demo that breaks in production.
The reason to read past the summary: the mechanics of each step, especially the validation loop design and the conditions that trigger human escalation, are where the practical engineering decisions live. Those details are in the full episode.
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