> namely you’re learning what works to get useful responses from ai agents.

Having worked a lot with AI agents, I don't agree.

AI agents are amazing at producing response and results that look correct as long as you don't look too closely.

Even when I try to write extremely detailed specs and test harnesses, even Opus 4.8 and GPT-5.5 on max will find creative new ways to write code that breaks under real use cases.

Doing throwaway LLM output, playing with it a little bit, and then calling it done will create a false sense that you're really good at getting LLMs to produce working things.