Most people still use AI like a chatbot.
Write a prompt. Get an answer. Rewrite the prompt. Repeat.
Loop engineering changes that.
Instead of manually reviewing every response, you create a workflow where AI evaluates its own output, follows predefined rules and continuously improves until it meets your standards.
This approach isn't about replacing human judgmentโit's about reducing repetitive work and building more reliable AI systems.
In this guide, you'll learn how to:
- Build your first review loop with Codex
- Structure projects using AGENTS.md
- Create repeatable AI review workflows
- Automate quality checks for code and content
- Develop systems that improve through iteration
The most effective AI systems are not built from a single perfect prompt.
They are built from simple, reliable loops that consistently solve one problem at a time.
How do you see loop engineering changing the way we build with AI over the next few years? I'd love to hear your thoughts.