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Andrew Ng just released a free 2-hour course on complete Graph Engineering How to go from one prompt to 100 agents that loop, improve, and run without you: 09:14 - Build your first AI agent 33:11 - Run agents with loop engineering 1:02:46 - Turn agent loops into graphs...

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14,713 次观看 • 9 天前 •via X (Twitter)

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null 的头像
null9 天前

wonder if the graph part uses langgraph

Tony Tong | Founder | Ancient Systems x AI 的头像
Tony Tong | Founder | Ancient Systems x AI9 天前

One prompt turning into a hundred self-improving agents is the new frontier, mine was more manual back in Jan 2021. I hand collected natal charts from about a hundred people I knew and mapped Bazi pillars to MBTI and Big Five with my own scores. Slower, still holds up.

pearson 的头像
pearson9 天前

I respect Andrew tbh

catman 的头像
catman9 天前

the self-rewriting section at 1:30:15 is where i’d slow down — how does it stop an agent from confidently making itself worse?

Garv Sanwariya 的头像
Garv Sanwariya9 天前

the jump from loops to graphs is where debugging gets messy. does he use langgraph or build custom state machines?

Jonyk 的头像
Jonyk9 天前

Andrew Ng’s Graph Engineering framework proves single-agent prompts are structurally obsolete: complex system automation requires dynamic loops and self-rewriting execution graphs to scale autonomous task orchestration.

Callan 的头像
Callan9 天前

single agents end where compounding begins

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