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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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14,899 Aufrufe • vor 2 Monaten •via X (Twitter)

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7 Kommentare

Profilbild von null
nullvor 2 Monaten

wonder if the graph part uses langgraph

Profilbild von Tony Tong | Founder | Ancient Systems x AI
Tony Tong | Founder | Ancient Systems x AIvor 2 Monaten

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.

Profilbild von pearson
pearsonvor 2 Monaten

I respect Andrew tbh

Profilbild von catman
catmanvor 2 Monaten

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?

Profilbild von Garv Sanwariya
Garv Sanwariyavor 2 Monaten

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

Profilbild von Jonyk
Jonykvor 2 Monaten

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.

Profilbild von Callan
Callanvor 2 Monaten

single agents end where compounding begins

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