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A Korean developer just explained the jump from Prompt Engineering to Graph Engineering better than anyone. Bookmark this guide, most people are still building agents the way that's about to be obsolete. > Prompt, Context, Loop, Graph: each stage fixes what the last couldn't > a loop plans, acts,... show more

Kirill

43,576 subscribers

39,068 Aufrufe • vor 2 Monaten •via X (Twitter)

Wissenschaft & Technologie

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5 Kommentare

Profilbild von Trent Brown - MorPHYes Mastery

Trent Brown - MorPHYes Masteryvor 1 Monat

Hilarious!! I was never a computer guy before February, I am and have been each step of the way ahead of the curve.. parallel wisdom serial execution. Months ago..

Profilbild von Kirill

Kirillvor 1 Monat

That's great, and the video is pretty good, too.

Profilbild von Aero

Aerovor 1 Monat

Great video!

Profilbild von Solid Snake 🐍🇲🇦

Solid Snake 🐍🇲🇦vor 1 Monat

@grok sumup this video

Profilbild von IcodeIdea

IcodeIdeavor 1 Monat

Isn’t this what langraph already offers

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A Chinese developer just explained the shift from Loop Engineering to Graph Engineering better than anyone. most people are still building agents the way that's about to be obsolete. > why single-agent loops break and go "goal blind" > the 4 parts of a graph: nodes, edges, state, policy > 3 topologies that run everything: diamond, supervisor, pipeline > Anthropic's 5 official workflow patterns the punchline: it's not how many agents you run. it's the determinism you build with verifiers, code fallbacks, and reality anchors. I broke the same architecture down with Kimi K3. Full A-Z guide below.

A Chinese developer just explained the shift from Loop Engineering to Graph Engineering better than anyone. most people are still building agents the way that's about to be obsolete. > why single-agent loops break and go "goal blind" > the 4 parts of a graph: nodes, edges, state, policy > 3 topologies that run everything: diamond, supervisor, pipeline > Anthropic's 5 official workflow patterns the punchline: it's not how many agents you run. it's the determinism you build with verifiers, code fallbacks, and reality anchors. I broke the same architecture down with Kimi K3. Full A-Z guide below.

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Google just released a free 2-hour course on Graph & Loop engineering: 1 prompt → 100 agents → loops → graphs, from 0% to 100%: 0% → 0:35 - graph engineering from scratch 30% → 31:17 - build your first agent graph 45% → 43:40 - run hundreds of agents in parallel 75% → 1:04:58 - loop engineering: route, check, repeat 100% → 1:25:09 - self-improving graphs that work while you sleep taught by the people who run this in production Prompts → Agents → Loops → Graphs most people keep stuffing instructions into one agent, and the real upgrade is one layer up same model, same tokens, and the only thing that changes is the shape you run it in watch it today, then save the full graph engineering guide below

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codila

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Mahax

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