如何设计 AI agent 循环:在 Claude Code 和 Codex 里搞定 schedule、goal 和 subagent
How to design AI agent loops: schedules, goals, and subagents in Claude Code and Codex
I break down every loop type from scratch—what a heartbeat, cron, hook, and goal loop actually are, when each one fits, and the five things any effective loop needs before it touches production. Then I build two live loops: a daily aging-PR reviewer in Claude Code that schedules itself at 10:15 a.m. and spins off its own subagents, and a weekly skills-identification loop in Codex that spawns goal-based subagents to validate its own output in real time.
Listen or watch on YouTube, Spotify, or Apple Podcasts
What you’ll learn:
The plain-English definition of a loop—and why it’s just an automated prompt, not a scary new paradigm
The four loop types (heartbeat, cron, hook, and goal) and when each one actually fits your workflow
How to think about loop design using the “onboarding an employee” mental model
The five things every effective loop needs: work trees, skills, plugins/connectors, subagents, and state tracking
How to build a scheduled PR-review routine in Claude Code that babysits aging PRs and alerts your team
How to set up a weekly skills-identification automation in Codex that spawns its own validating subagents
Why goal-based loops are the hardest to write well—and where most people burn tokens for nothing
The two warning signs that your loop is going to get expensive before it gets useful
Brought to you by:
WorkOS—Make your app enterprise-ready today
Runway—The creative AI platform for images, video, and more
In this episode, we cover:
(00:00) Prompts are out and loops are in
(02:30) Defining a loop
(03:03) The four ways to automate a prompt: heartbeat, cron, hooks, and goals
(06:03) Five things every effective loop needs
(09:26) The “onboarding an employee” framework for designing loops
(11:58) Live build #1: Daily aging PR loop in Claude Code
(17:08) Subagents inside loops
(19:00) Live build #2: Weekly skills identification loop in Codex
(22:57) Watching subagents spin up in real time
(25:28) Warning signals around loops
(27:31) What listeners are doing with loops
Tools referenced:
• Claude Code: https://claude.ai/code
• Codex: https://chatgpt.com/codex
• OpenClaw: https://openclaw.ai/
Other references:
• Claire’s article “Why OpenClaw Feels Alive Even Though It’s Not”: https://x.com/clairevo/article/2017741569521271175
• Addy Osmani’s article on loop engineering: https://addyosmani.com/blog/loop-engineering/
• Using Goals in Codex: https://developers.openai.com/cookbook/examples/codex/using_goals_in_codex
Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.
这篇还没有中文全文
该条目暂未提供中文翻译。标题/摘要已自动中译;本系统只对人工挑选的内容生成全文翻译。
挑中后 → markitdown 取正文 → 精翻 → 此处切换为译文
