Notes from building agents: what worked, what didn’t, and the numbers behind both.
We built an RL environment where a supervisor LLM learns to manage a 5-agent coding pipeline — detecting hallucinations, deceptive outputs, and coordinated failures that no existing benchmark trains for.
