@axichuhai: Whoa, a programming guru distilled his engineering experience into an open-source project that topped GitHub trending, with stars soaring past 90k+. The author is former Vercel engineer Mat, known for making complex tech easy to understand and involved in early Next.js development. He distilled his daily collaboration with Claud…

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open-source github ai-agents engineering-practice prompt-engineering claude course

Summary

Introducing hello-agents, an open-source project that topped GitHub trending. It systematically organizes courses on AI and Agents from theory to practice, covering skills like Agentic RL, SFT, GRPO. Created by former Vercel engineer Mat, it distills engineering experience into 16 skills, such as Grim prompting techniques and red-green cycle testing methods.

Whoa, a programming guru distilled his engineering experience into an open-source project. Topped GitHub trending with stars soaring past 90k+. The author is former Vercel engineer Mat, known for making complex tech easy to understand and involved in early Next.js development. He organized his daily engineering practices collaborating with Claude into 16 skills, installable with a single command, injecting decades of software engineering experience into AI. The most acclaimed one is called Grim, which makes AI interrogate you instead, walking through a decision tree to confirm requirements one by one until it fully understands what you want before acting. Only 3 sentences and 42 words, praised by many as "the prompt with the highest token ROI." Another skill specifically addresses code that won't run: it forces AI to first write a test that will fail, then write the minimal code to pass it, and finally refactor—a classic red-green cycle that makes it hard for AI to cut corners. The entire project isn't just about teaching AI how to do things; it's about establishing a continuous alignment workflow between you and AI.
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Holy cow, a programming guru has distilled his engineering experience into an open-source project

Topped the GitHub trending list, with stars soaring past 90k+

The author is Mat, a former Vercel engineer who contributed to early Next.js development, known for explaining complex tech in an easy-to-understand way.

He turned his daily engineering practices collaborating with Claude into 16 skills, installable with a single command, injecting decades of software engineering experience into AI.

The most acclaimed one is called Grim, which makes AI turn the tables and interrogate you—walking through a decision tree to confirm requirements one by one until it fully understands what you want before taking action.

With only 3 sentences and 42 words, many have called it “the prompt with the highest token ROI.”

Another skill specifically addresses code that won’t run: it forces the AI to first write a test that will fail, then write the minimal code to make it pass, and finally refactor. The classic red-green cycle, making it hard for AI to cut corners.

This whole project isn’t just about teaching AI how to work—it’s about establishing a continuously aligned working mechanism between you and the AI.

阿西_出海 (@axichuhai): Guys, I’ve dug up another GitHub treasure of an open-source project—hello-agents

🏆Directly topped the GitHub open-source hot list, and still climbing fast

It systematically organizes AI and Agent theory into an open-source course, covering skills like Agentic RL, SFT, GRPO—the kind you’d need when applying for high-end AI positions

Before, this content was either scattered all over or required paying for courses.

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