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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... show more

Kirill

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2,692,298 views • 10 days ago •via X (Twitter)

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Andrew Ng just released a 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents that loop, rewrite themselves, 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 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the full graph system without you Most people are still building one agent and calling it done. Andrew Ng is already teaching everything after: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow. Systems that improve and run without you are the new one. This 2-hour watch is worth more than most $500 agent engineering courses. Bookmark and watch it before everyone catches up. Then read how to run 1,000 agents from one prompt below ↓

Andrew Ng just released a 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents that loop, rewrite themselves, 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 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the full graph system without you Most people are still building one agent and calling it done. Andrew Ng is already teaching everything after: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow. Systems that improve and run without you are the new one. This 2-hour watch is worth more than most $500 agent engineering courses. Bookmark and watch it before everyone catches up. Then read how to run 1,000 agents from one prompt below ↓

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Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below

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46,272 views • 22 days ago

Anthropic engineer: "You don't need to babysit agents. You need Loops and Graphs that run them for you." In 30 minutes, he shows exactly what the Anthropic engineers build so agents run without them, and how to start building it yourself. The missing piece most people skip: how to wire those agents into a graph that self-corrects every run. Watch it, then read the full guide on loops and graphs below.

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84,760 views • 18 days ago

Anthropic engineer: "You don't need better prompts. You need graph engineering that makes agents remember everything." In 25 minutes he shows how engineers at Anthropic wire agents into a graph where each has a job, they run in parallel, verify each other, and share a memory that never resets. This beats any paid course on building agents I've seen. Watch it, then read the full guide on graph engineering below.

Anthropic engineer: "You don't need better prompts. You need graph engineering that makes agents remember everything." In 25 minutes he shows how engineers at Anthropic wire agents into a graph where each has a job, they run in parallel, verify each other, and share a memory that never resets. This beats any paid course on building agents I've seen. Watch it, then read the full guide on graph engineering below.

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490,467 views • 27 days ago

Head of Claude Code, Boris Cherny: "You're not supposed to write code anymore. You're supposed to build a graph that writes itself." In 30 minutes he breaks down how engineers at Anthropic build graphs that write the code, catch the bugs, and ships. The missing piece most developers skip: how to wire those agents into a graph that runs, verifies, and improves without you. Watch it, then read the full guide on graph engineering below.

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415,665 views • 24 days ago

Google just dropped a 1-hour course on full AI engineering: from 1 agent to Loops and Graphs 7:02 - Build your first agent 13:34 - What agents can do 23:08 - Context engineering 32:56 - Graph engineering 54:11 - Full autonomous system One agent saves you an hour. A thousand replaces the team. Watch it, then read the full guide on loops and graphs below

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Mahax

38,150 views • 6 days ago

Still the best hour on graph engineering ever recorded, Andrew Ng breaking down how to build agentic knowledge graphs from scratch: 00:00 - what agentic knowledge graphs actually are 03:05 - building a graph from scratch 13:58 - the architecture behind multi-agent systems 22:57 - building a real one with Google ADK 01:06:02 - why graphs are the future of AI agents I've seen $500 courses that teach less. Watch it, then take it further with my step-by-step guide on graph engineering below.

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264,037 views • 26 days ago

Anthropic engineer: "At Anthropic we don't write prompts anymore. We build loops and graphs." in 32 minutes she shows how the Claude team builds systems that prompt themselves Prompts → Agents → Loops → Graphs a loop finishes one unit of work without you a graph decides which units exist and turns every accepted one into a rule the next run inherits 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

Anthropic engineer: "At Anthropic we don't write prompts anymore. We build loops and graphs." in 32 minutes she shows how the Claude team builds systems that prompt themselves Prompts → Agents → Loops → Graphs a loop finishes one unit of work without you a graph decides which units exist and turns every accepted one into a rule the next run inherits 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

Hanako

194,897 views • 1 day ago