This article argues that to get useful work from AI coding agents, teams must build a structured environment—context, tools, permissions, tests, and review loops—that guides stateless models and enforces deterministic feedback. It covers seven principles, from minimal and tested context to sandboxed credentials and self-validating work, so agents can onboard per task, prove their output, and operate safely at scale.