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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...

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Hanako

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27,591 Aufrufe • vor 1 Monat •via X (Twitter)

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12 Kommentare

Profilbild von slash1s
slash1svor 1 Monat

wow I love this topic

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 1 Monat

@hanakoxbt honestly never thought I'd need to deep dive into graph engineering, but now I see how running parallel agents can elevate workflows. Might give this course a shot!

Profilbild von RemoteBrowser
RemoteBrowservor 1 Monat

Running hundreds of agents in parallel is where the graph gets interesting. The hard part isn't spawning them, it's the fan-in: partial failures, retries, and keeping state consistent when one branch stalls. How are you handling that merge step?

Profilbild von Leliu
Leliuvor 1 Monat

Interesting concept for scaling AI agent capabilities.

Profilbild von SEO Mastery
SEO Masteryvor 1 Monat

100 agents running in parallel, wild scale

Profilbild von Aryan Pegwar
Aryan Pegwarvor 1 Monat

I have watched the complete video course and created a skill for implementing the learnings immediately in all my agentic AI workflows. If someone wants that I'll happily share. Just DM me. "Skill"

Profilbild von Miles S.
Miles S.vor 1 Monat

100 agents in parallel is the bit i’d watch first

Profilbild von John Mercier
John Merciervor 1 Monat

One agent works. A loop makes it compound.

Profilbild von Crio Songo
Crio Songovor 1 Monat

刚好最近在做多智能体架构，这个点说到点子上了，我这就去找课程来学学怎么搭分层结构。

Profilbild von SpectraView
SpectraViewvor 1 Monat

Just two hours of your time, and you become better.

Profilbild von Thành Lê 🌩️
Thành Lê 🌩️vor 1 Monat

Beautif course

Profilbild von Kuzka_aaa
Kuzka_aaavor 1 Monat

The real jump isn’t a better prompt. It’s going from 1 agent stuffed with instructions to a graph that fans out, checks itself, and keeps running while you sleep.Same model. Different shape.

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