Claude Code loop engineering guide published

Practical loop engineering involves using autonomous, self-correcting feedback cycles where AI agents repeatedly act, test results, and adjust approaches until a specific goal is met. The author outlines different types of loops—manual, goal-based, time-based, and proactive—using primitives available in tools like Claude Code to automate tasks such as PR reviews and bug fixes. However, the author warns that users must retain critical judgment and carefully verify outputs rather than blindly trusting agent confidence or delegating taste. Open article →