A disciplined method for keeping AI coding agents on a short leash — reliable results, less drift
The Short-Leash AI Coding Method
This widely-discussed essay lays out a "short leash" method for working with AI coding agents: instead of handing a model a broad task and hoping, you constrain each step, verify frequently, and keep the agent tightly scoped so it cannot wander. The piece is a practical, opinionated playbook for builders who have felt the pain of an agent confidently producing plausible-but-wrong code. It is a useful counterweight to "vibe coding," arguing that discipline and small verified increments beat autonomy when correctness matters.

























































