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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

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2,692,298 görüntüleme • 10 gün önce •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

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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Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

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Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

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Google dropped a free 2 hour course on full graph engineering, taking you from a single prompt to a hundred agents wired into loops and graphs 17:44 – Building your first agent 39:30 – Loop engineering, iterate, check, break 1:12:38 – Graph engineering 1:34:26 – Agents that throttle themselves 1:55:05 – Full graph for multi agentic systems Most people build a single agent and stop there. This course shows the full system, where agents wire themselves into a graph on their own Watch it today, then check out the graph engineering playbook below for a deeper breakdown

Google dropped a free 2 hour course on full graph engineering, taking you from a single prompt to a hundred agents wired into loops and graphs 17:44 – Building your first agent 39:30 – Loop engineering, iterate, check, break 1:12:38 – Graph engineering 1:34:26 – Agents that throttle themselves 1:55:05 – Full graph for multi agentic systems Most people build a single agent and stop there. This course shows the full system, where agents wire themselves into a graph on their own Watch it today, then check out the graph engineering playbook below for a deeper breakdown

Wayne

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Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.

Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.

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Google just released free 2-hour course on full Graph engineering: 1 prompt → 100 agents → loops → graphs from 0% to 100%: 10% → 17:44 - build your first agent 30% → 39:30 - Loop engineering: iterate, check, break 60% → 1:12:38 - Graph engineering 75% → 1:34:26 - agents that throttle themselves 100% → 1:55:05 - full graph for multi-agentic systems everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph watch the course, build the graph - then read the full architecture below ↓

Google just released free 2-hour course on full Graph engineering: 1 prompt → 100 agents → loops → graphs from 0% to 100%: 10% → 17:44 - build your first agent 30% → 39:30 - Loop engineering: iterate, check, break 60% → 1:12:38 - Graph engineering 75% → 1:34:26 - agents that throttle themselves 100% → 1:55:05 - full graph for multi-agentic systems everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph watch the course, build the graph - then read the full architecture below ↓

codila

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Andrew Ng just dropped a 2-hour course on Graph Engineering: from Loops to full automation 9:14 - Your first agent 33:11 - Loop engineering 1:02:46 - Graph engineering 1:30:15 - Agents that rewrite themselves 1:49:05 - Full graph system Free, the best thing on graph engineering I've come across Watch it, then build your first graph with the guide below

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Claude Code creator, Boris Cherny: "Forget everything you learned about computer science theory, now you just explain to the model what you need and it does the rest." 32 minutes of the head of Claude Code showing exactly how he builds now. He gave Claude one prompt two weeks ago and it's still running, spawning thousands of agents on its own. The people winning right now aren't writing more code, they're building loops that run without them. Watch it, then go deeper with the graph engineering guide that combines agents and loops below.

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Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

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Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 38:46 - build your first agent 30% → 54:46 - connect MCP tools 55% → 1:12:43 - Loop engineering: 4 ways to run agents 70% → 1:20:57 - Graph engineering 100% → 2:22:31 - the full system that works while you sleep most people build one agent and stop there - this is the full path to a system that runs without you from scratch watch it today - then read the full graph engineering playbook below ↓

Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 38:46 - build your first agent 30% → 54:46 - connect MCP tools 55% → 1:12:43 - Loop engineering: 4 ways to run agents 70% → 1:20:57 - Graph engineering 100% → 2:22:31 - the full system that works while you sleep most people build one agent and stop there - this is the full path to a system that runs without you from scratch watch it today - then read the full graph engineering playbook below ↓

codila

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Andrej Karpathy: "Prompting is fading away. Delete everything else and keep the graph." in 68 minutes at Stanford he explains how to build one and why it is the layer everything ends up becoming LLMs → Prompts → Agents → Graphs everything before the graph is a step the graph is where the system stops being steps most people are still perfecting the thing that goes away first 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

Andrej Karpathy: "Prompting is fading away. Delete everything else and keep the graph." in 68 minutes at Stanford he explains how to build one and why it is the layer everything ends up becoming LLMs → Prompts → Agents → Graphs everything before the graph is a step the graph is where the system stops being steps most people are still perfecting the thing that goes away first 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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Andrew Ng just dropped a free 2-hour course On turning one prompt into 100 self-improving agents: 09:14 - Build your first AI agent 33:11 - Run agents inside feedback loops 1:02:46 - Connect agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the entire graph without you Most people build one agent and call it finished Andrew Ng is already teaching everything that comes next: 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 free 2-hour course is worth more than most $500 agent engineering programs Bookmark and watch it before everyone catches up Then read how to run 1,000 agents from one prompt below ↓

Andrew Ng just dropped a free 2-hour course On turning one prompt into 100 self-improving agents: 09:14 - Build your first AI agent 33:11 - Run agents inside feedback loops 1:02:46 - Connect agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the entire graph without you Most people build one agent and call it finished Andrew Ng is already teaching everything that comes next: 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 free 2-hour course is worth more than most $500 agent engineering programs Bookmark and watch it before everyone catches up Then read how to run 1,000 agents from one prompt below ↓

rari

44,254 görüntüleme • 14 gün önce

Andrew Ng just released a free 1-hour course on building agentic knowledge graphs from scratch. How to turn raw data into structured memory for AI agents: 00:00 - Understand agentic knowledge graphs 03:07 - Build your first agentic graph 14:00 - Architect multi-agent systems 23:00 - Build graphs with Google ADK 1:06:03 - See why graphs are the future of agents Most people are still building agents with flat context. Andrew Ng is already teaching the next layer: Data → Relationships → Memory → Agents → Graphs Loop engineering is the old workflow. Graph engineering is the new one. This 1-hour course is worth more than most paid agent engineering courses. Bookmark and watch it before everyone catches up. Then read the full Graph Engineering roadmap below

Andrew Ng just released a free 1-hour course on building agentic knowledge graphs from scratch. How to turn raw data into structured memory for AI agents: 00:00 - Understand agentic knowledge graphs 03:07 - Build your first agentic graph 14:00 - Architect multi-agent systems 23:00 - Build graphs with Google ADK 1:06:03 - See why graphs are the future of agents Most people are still building agents with flat context. Andrew Ng is already teaching the next layer: Data → Relationships → Memory → Agents → Graphs Loop engineering is the old workflow. Graph engineering is the new one. This 1-hour course is worth more than most paid agent engineering courses. Bookmark and watch it before everyone catches up. Then read the full Graph Engineering roadmap below

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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.

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.

Mahax

84,760 görüntüleme • 18 gün önce

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.

Anatoli Kopadze

490,467 görüntüleme • 27 gün önce

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.

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.

Mahax

415,665 görüntüleme • 24 gün önce

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

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

Mahax

38,150 görüntüleme • 6 gün önce

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.

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.

Anatoli Kopadze

264,037 görüntüleme • 26 gün önce

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 görüntüleme • 1 gün önce