Everyone wants to go faster; this has always been true, and it is especially true in the context of LLM deployment. Teams using AI in development are not just using it to write code more quickly, but, being frank, AI has not yet demonstrated that it is good at many of the other tasks. Teams therefore have to decide where human attention buys the most safety and quality for the least overhead and the most speed.