How I Configure AI Coding Agents for Autonomous Operation (With Real Examples)

I've been running an experiment for the past few months: giving an AI coding agent enough configuration and trust to operate autonomously on real business tasks. Not "generate a React component." More like "you are responsible for this product — build it, ship it, market it." The agent is called Hideyoshi. It runs on Claude Code. Here's what I've learned about the configuration layer that makes autonomous operation possible. The Configuration Layer Is Everything When most developers use AI coding tools, the interaction is transactional: you ask for code, it writes code, you review and edit. Autonomous operation requires a different approach. The agent needs: Clear responsibilities — What is it accountable for? Trust boundaries — What can it do alone? What needs approval? Quality standards — How should the output look and behave? Safety rails — How do you prevent it from causing damage? All of this lives in configuration files that the agent reads on startup. Pattern 1: Constrained Auto