LIVE: Poteto (creator of pstack) on shipping 1,000's of PR's a month at SpaceX

Scaling software development through AI agents requires shifting from manual micromanagement to building robust, self-verifying environments. By treating engineering workflows like a Michelin-starred kitchen, developers can move beyond simple code generation to creating systems where agents operate within strict constraints and automated verification loops. This approach relies on distilling domain expertise into reusable skills and deterministic tools, such as custom CLIs and linting rules, which minimize agent error and context window usage. When agents are equipped with the ability to verify their own output, they can handle complex tasks, including bug triaging and performance optimizations, independently. This transition from human-in-the-loop to autonomous, coordinator-led execution allows for massive increases in velocity, enabling the shipment of thousands of pull requests while maintaining high standards through rigorous, automated quality control.