Ray and I are teaming up to bring you a super exciting livestream where we'll combine our workflows together to create something new and VERY powerful. We've got some insane ideas cooking that I can't wait to share with you!
If you haven't watched Ray's content before, you should check it out! His channel is a goldmine of resources for AI coding:
/ @rayfernando1337
Here is the repo for the Linear Agent Harness:
https://github.com/coleam00/Linear-Co...
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00:00:00 Introduction to the live stream and guest Ray.
00:00:59 Explaining the main topic: Anthropic's harness for long-running agents.
00:03:32 Ray introduces himself and his AI coding background.
00:08:13 Explaining the core problem: agents and long context windows.
00:10:30 Why Cole integrated Linear for task management and observability.
00:13:42 Discussing Archon, Cole's open-source AI command center.
00:21:55 Architectural deep dive: How the agent harness works.
00:25:50 Showing the detailed `app_spec.md` file for building a Claude.ai clone.
00:30:52 Pro-tip: How to use a Claude Max subscription instead of API credits.
00:39:20 Showcase: A Claude.ai clone built by the harness in 24 hours.
00:46:57 Detailing the prompt changes for the Linear integration.
00:49:02 Ray's 'AGI' moment seeing the fully integrated system.
00:50:58 Explaining the Test-Driven Development (TDD) approach used.
01:04:18 Kicking off the live demo.
01:09:21 Live demo: The initializer agent creates tasks in Linear.
01:14:35 Live demo: Agent uses Puppeteer to validate the app.
01:22:30 How to adapt the harness for other models (Codex, OpenCode).
01:27:36 Live demo: The agent builds the initial UI layout.
01:34:50 A fun detour into cooking and favorite pizza.
01:41:09 Will AI stop the creation of new programming languages?
01:50:08 The importance of automated testing in AI workflows.
01:56:48 Ray provides a complete summary of the harness architecture.
01:59:04 Cole discusses his Dynamous community and coding course.
02:04:50 Final thoughts and wrap-up.
