How To Use AI Loops With Claude & Codex

Stop prompting coding agents one task at a time. Start designing loops that prompt your agents for you. Referneces: shipshitdev/skills: https://github.com/shipshitdev/skills VincentShipsIt/loops: https://github.com/VincentShipsIt/loops Forward-Future/loop-library: https://github.com/Forward-Future/loo... In this video, I break down AI loops for Claude and Codex: recurring agent routines, loop engineering, cloud automations, and how to make coding agents work without babysitting every single step. The important part: loops are not magic. If you don’t define scope, boundaries, acceptance criteria, and a clear end state, your agent can burn tokens forever fixing bugs it created itself. We cover: What AI loops actually are How Claude and Codex can run repeatable routines Why “just keep improving” is dangerous How to keep loops small and controlled Examples like Sentry hotfix loops, nightly E2E expansion, repo maintenance, worktree pruning, and content factory routines Why AI development now needs better project management, not less If you’re paying for Claude, Codex, or AI coding agents, you should be using more of what you already bought. Chapters: 00:00 Are you maxing out your subscription? 00:20 What AI loops are 00:52 Why loops need boundaries 01:14 Loop library and repeatable routines 02:37 Real loop examples 03:10 Why uncontrolled loops get expensive 03:51 AI development needs project management 05:18 How to prepare safe agent loops 05:37 Claude and Codex routine examples 07:47 Nightly E2E and repo automation 08:11 Max out what you’re paying for