Posts tagged Agent Loops — AI × software engineering, made practical.
You'll learn how to split an agent run's token allowance by decision type (explore, plan, edit, verify), give each type its own stop rule, and pick the shares from your own trace data.
You'll learn to route each agent step to a cheap or frontier model based on what a mistake would cost and whether anything catches it, rather than on how hard the task looks.