Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time. In 30 minutes they built the whole thing live in one session. Here's what they cover: > when to use one agent vs a full team > how... show more

darkzodchi

25,473 subscribers

842,305 views • 2 months ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Cursor pays engineers $1,100,000 a year to run teams of AI agents that ship code while they sleep. [The CEO of Cursor explained in 9 minutes how they ship at 100x speed using team of agents] ↓ Save this before everyone copies the playbook 1. Engineers no longer babysit one assistant. They manage dozens of agent colleagues working in parallel, each on its own remote machine 2. Validation contract before code, not after. Humans only at scoping and review. 3. The agent team handles the full loop : planning, coding, testing, shipping PRs with each agent specialised for a role. Watch the guide. Then read the guide below by Khairallah AL-Awady

Cursor pays engineers $1,100,000 a year to run teams of AI agents that ship code while they sleep. [The CEO of Cursor explained in 9 minutes how they ship at 100x speed using team of agents] ↓ Save this before everyone copies the playbook 1. Engineers no longer babysit one assistant. They manage dozens of agent colleagues working in parallel, each on its own remote machine 2. Validation contract before code, not after. Humans only at scoping and review. 3. The agent team handles the full loop : planning, coding, testing, shipping PRs with each agent specialised for a role. Watch the guide. Then read the guide below by Khairallah AL-Awady

Avid

636,555 views • 2 months ago

Anthropic Head of Product: "Fable 5 is the best model we've ever shipped for agentic work. Our engineers now ship 8x more code than they did in past years." in 42 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5: managed agents, dreaming, dynamic workflows worth more than a $500 agent building course live from Anthropic's latest stage in Japan, just hours ago i turned everything they showed on stage into a step-by-step guide on building your own agent you can find the full guide below

Anthropic Head of Product: "Fable 5 is the best model we've ever shipped for agentic work. Our engineers now ship 8x more code than they did in past years." in 42 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5: managed agents, dreaming, dynamic workflows worth more than a $500 agent building course live from Anthropic's latest stage in Japan, just hours ago i turned everything they showed on stage into a step-by-step guide on building your own agent you can find the full guide below

Anatoli Kopadze

81,094 views • 1 month ago

the engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work I've seen $300 courses that don't cover what he shows in the first 10 minutes CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns all in one video and completely free after watching this, the next step is agents I wrote a full guide on how to build one yourself with Claude Code article below

the engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work I've seen $300 courses that don't cover what he shows in the first 10 minutes CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns all in one video and completely free after watching this, the next step is agents I wrote a full guide on how to build one yourself with Claude Code article below

Anatoli Kopadze

1,286,070 views • 1 month ago

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes showing exactly what one person with Claude can do, completely free worth more than any $500 vibe-coding course here's what he covers: > raw idea to deployed app in a single session > using Claude as the entire engineering team > the exact workflow they use at Google > no big team, no prior experience needed the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I put together a step-by-step guide on building your first AI agent from scratch the full walkthrough is in the article below

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes showing exactly what one person with Claude can do, completely free worth more than any $500 vibe-coding course here's what he covers: > raw idea to deployed app in a single session > using Claude as the entire engineering team > the exact workflow they use at Google > no big team, no prior experience needed the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I put together a step-by-step guide on building your first AI agent from scratch the full walkthrough is in the article below

Anatoli Kopadze

43,005 views • 1 month ago

Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

codila

60,826 views • 19 days ago

Anthropic engineer just dropped a full walkthrough on building AI agents from scratch this single video is worth more than any $600 AI agents course here's what she covers: > what Agent, Environment, and Session actually mean > how to stream live events from your agent > wiring up custom tools from scratch > the server-side loop that makes agents actually work > roadmap to subagents, vaults, and memory 37 minutes that will answer every question you have about building agents the people who understand what Claude can actually do are building things everyone else thinks requires a whole team most of them aren't smarter, they just know features that most people have never heard of full breakdown on every Claude feature worth knowing in the article below

Anthropic engineer just dropped a full walkthrough on building AI agents from scratch this single video is worth more than any $600 AI agents course here's what she covers: > what Agent, Environment, and Session actually mean > how to stream live events from your agent > wiring up custom tools from scratch > the server-side loop that makes agents actually work > roadmap to subagents, vaults, and memory 37 minutes that will answer every question you have about building agents the people who understand what Claude can actually do are building things everyone else thinks requires a whole team most of them aren't smarter, they just know features that most people have never heard of full breakdown on every Claude feature worth knowing in the article below

Anatoli Kopadze

38,627 views • 2 months ago

Anthropic senior engineer just revealed how to use Claude Code at 110% in a 47-minute session. 47-minutes. free. by Anthropic team. worth more than any $500 vibe-coding course here's what she covers: • 3 things Claude needs: access, knowledge, tooling • git worktrees + one Claude each = a team you manage • /loop that babysits PRs and fixes CI overnight • agents that message each other while you sleep most people use Claude on one repo in one window - while the people who get this run teams of agents in parallel watch the full talk, then read the article below

Anthropic senior engineer just revealed how to use Claude Code at 110% in a 47-minute session. 47-minutes. free. by Anthropic team. worth more than any $500 vibe-coding course here's what she covers: • 3 things Claude needs: access, knowledge, tooling • git worktrees + one Claude each = a team you manage • /loop that babysits PRs and fixes CI overnight • agents that message each other while you sleep most people use Claude on one repo in one window - while the people who get this run teams of agents in parallel watch the full talk, then read the article below

Codez

71,147 views • 2 months ago

He built 3000+ AI agents at Google Brain - in 60 minutes at Stanford he revealed how he built each one from scratch 00:00 - solo engineer saves $20K/month with AI 08:34 - one agent replaces the research department 19:47 - one prompt builds a Graph from scratch after watching I understood why Andrew Ng built 3000 agents - and started building my first one that same day save this & read the article below to replace your team with one agent

He built 3000+ AI agents at Google Brain - in 60 minutes at Stanford he revealed how he built each one from scratch 00:00 - solo engineer saves $20K/month with AI 08:34 - one agent replaces the research department 19:47 - one prompt builds a Graph from scratch after watching I understood why Andrew Ng built 3000 agents - and started building my first one that same day save this & read the article below to replace your team with one agent

Noisy

25,733 views • 14 days ago

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes live on stage doing what most teams take weeks to do worth more than any $500 vibe-coding course here's what he covers: > zero to deployed app in a single session > handling five engineering roles alone with Claude > the exact workflow Google uses internally > no team, no setup, just Claude and a goal the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I wrote a step by step guide on how to build your first AI agent the guide is in the article below

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes live on stage doing what most teams take weeks to do worth more than any $500 vibe-coding course here's what he covers: > zero to deployed app in a single session > handling five engineering roles alone with Claude > the exact workflow Google uses internally > no team, no setup, just Claude and a goal the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I wrote a step by step guide on how to build your first AI agent the guide is in the article below

Anatoli Kopadze

459,568 views • 1 month ago

Don't waste 2 years learning to build AI agents. An Anthropic engineer who built Claude Code tells you what to learn from scratch instead. 60 minutes course. Free: 00:00 - AI agent architecture 24:47 - LangGraph AI agent 29:15 - building AI agents live Prompting is the old job. Building AI agent loops is the new one. Bookmark now & watch it. Then build your own AI agent with the guide below.

Don't waste 2 years learning to build AI agents. An Anthropic engineer who built Claude Code tells you what to learn from scratch instead. 60 minutes course. Free: 00:00 - AI agent architecture 24:47 - LangGraph AI agent 29:15 - building AI agents live Prompting is the old job. Building AI agent loops is the new one. Bookmark now & watch it. Then build your own AI agent with the guide below.

Roan

54,216 views • 7 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.

Anatoli Kopadze

483,972 views • 7 days ago

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes showing exactly what one person with Claude can do, completely free worth more than any $500 vibe-coding course here's what he covers: > raw idea to deployed app in a single session > using Claude as the entire engineering team > the exact workflow they use at Google > no big team, no prior experience needed the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I put together a guide on Claude features most people have no idea exist the guide is in the article below

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes showing exactly what one person with Claude can do, completely free worth more than any $500 vibe-coding course here's what he covers: > raw idea to deployed app in a single session > using Claude as the entire engineering team > the exact workflow they use at Google > no big team, no prior experience needed the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I put together a guide on Claude features most people have no idea exist the guide is in the article below

Anatoli Kopadze

933,024 views • 2 months ago

Anthropic engineer: "You're not supposed to babysit the model. Put it in a graph, and it catches its own mistakes and runs a dozen tasks at once." In 25 minutes he breaks down exactly how Anthropic builds agents that run in parallel, check each other's work, and recover when one fails. Worth more than any paid course you'll find on building agents. Watch it, then read detailed guide on graph engineering below.

Anthropic engineer: "You're not supposed to babysit the model. Put it in a graph, and it catches its own mistakes and runs a dozen tasks at once." In 25 minutes he breaks down exactly how Anthropic builds agents that run in parallel, check each other's work, and recover when one fails. Worth more than any paid course you'll find on building agents. Watch it, then read detailed guide on graph engineering below.

Anatoli Kopadze

412,537 views • 12 days ago

Anthropic AI engineer just dropped a live masterclass on how to ship a team of production‑ready AI agents. 37 minutes. Free. From the Anthropic team. here’s what she covers: • 3 building blocks: brain, hands, sessions • server-side loop, so nothing breaks on refresh • agent teams shipping to production 10–15x faster • why agents die before production brain (persona) + hands (environment) + sessions = a production agent out of the box. most people are still babysitting fragile agent scripts, while the people who figured this out ship agents that just stay running. Watch this workshop, then read the full guide below.

Anthropic AI engineer just dropped a live masterclass on how to ship a team of production‑ready AI agents. 37 minutes. Free. From the Anthropic team. here’s what she covers: • 3 building blocks: brain, hands, sessions • server-side loop, so nothing breaks on refresh • agent teams shipping to production 10–15x faster • why agents die before production brain (persona) + hands (environment) + sessions = a production agent out of the box. most people are still babysitting fragile agent scripts, while the people who figured this out ship agents that just stay running. Watch this workshop, then read the full guide below.

Movez

164,367 views • 2 months ago

Anthropic engineers just showed how they build a full app from scratch, using a loop of agents 40 minutes from the team behind Claude Code they used three agents: one to plan, one to build, one to judge, cycling until the app actually works the winners won't have the smartest model, they'll have the best loop watch it, then read the full guide on how to actually use loops below

Anthropic engineers just showed how they build a full app from scratch, using a loop of agents 40 minutes from the team behind Claude Code they used three agents: one to plan, one to build, one to judge, cycling until the app actually works the winners won't have the smartest model, they'll have the best loop watch it, then read the full guide on how to actually use loops below

Kyronis

11,121 views • 1 month ago

Anthropic engineers just showed how they build a full app from scratch, using a loop of agents 40 minutes from the team behind Claude Code they used three agents: one to plan, one to build, one to judge, cycling until the app actually works the winners won't have the smartest model, they'll have the best loop watch it, then read the full guide on how to actually use loops below

Anthropic engineers just showed how they build a full app from scratch, using a loop of agents 40 minutes from the team behind Claude Code they used three agents: one to plan, one to build, one to judge, cycling until the app actually works the winners won't have the smartest model, they'll have the best loop watch it, then read the full guide on how to actually use loops below

Anatoli Kopadze

1,918,798 views • 1 month ago

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

Dan Shipper 📧

67,958 views • 3 months ago

$ANTHROPIC JUST QUIETLY SHIPPED A FEATURE THAT LETS CLAUDE SPAWN A WHOLE TEAM OF AGENTS THAT MESSAGE EACH OTHER AND REVIEW EACH OTHER'S WORK. It's a Claude Code feature called agent teams. The team lead spawns multiple agents that share a task list and message each other directly, not subagents reporting back, actual peers. In the demo a QA agent caught three bugs, sent the work back to the front-end and back-end devs, they fixed it, app shipped in one pass. How to run it: 1. Enable it. Needs Claude Code v2.1.32+. Add to settings.json: "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }. Or paste that to Claude and say "add this to my settings." Restart. 2. Prompt in plain English. Start with a goal (agents wake with zero context), then "create a team of 3 using Sonnet," describe each role, its deliverable, and who it messages when done. 3. The rules: each agent owns its own files, define exact outputs, name who talks to who, keep it to 3-5 agents. Use it for complex work with separate parts running in parallel. Skip it for simple or sequential tasks, teams cost 3-4x the tokens. Bookmark this.$

ANTHROPIC JUST QUIETLY SHIPPED A FEATURE THAT LETS CLAUDE SPAWN A WHOLE TEAM OF AGENTS THAT MESSAGE EACH OTHER AND REVIEW EACH OTHER'S WORK. It's a Claude Code feature called agent teams. The team lead spawns multiple agents that share a task list and message each other directly, not subagents reporting back, actual peers. In the demo a QA agent caught three bugs, sent the work back to the front-end and back-end devs, they fixed it, app shipped in one pass. How to run it: 1. Enable it. Needs Claude Code v2.1.32+. Add to settings.json: "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }. Or paste that to Claude and say "add this to my settings." Restart. 2. Prompt in plain English. Start with a goal (agents wake with zero context), then "create a team of 3 using Sonnet," describe each role, its deliverable, and who it messages when done. 3. The rules: each agent owns its own files, define exact outputs, name who talks to who, keep it to 3-5 agents. Use it for complex work with separate parts running in parallel. Skip it for simple or sequential tasks, teams cost 3-4x the tokens. Bookmark this.

Yarchi

460,553 views • 1 month ago

Anthropic engineer: "You don't need better prompts. You need graph engineering: memory that stays, so your agent never forgets anything." In 28 minutes he shows what Anthropic does differently, how to build and structure work with agents. This beats any paid agent course I've seen. Watch it, then read the graph engineering guide below 👇

Anthropic engineer: "You don't need better prompts. You need graph engineering: memory that stays, so your agent never forgets anything." In 28 minutes he shows what Anthropic does differently, how to build and structure work with agents. This beats any paid agent course I've seen. Watch it, then read the graph engineering guide below 👇

darkzodchi

455,367 views • 9 days ago

Agent Hooks in VS Code let you enforce policies, run checks, and guide Copilot at key moments during a session. Instead of repeating prompts, you can program how agents behave in your workflow. Learn how hooks work and when to use them.

Agent Hooks in VS Code let you enforce policies, run checks, and guide Copilot at key moments during a session. Instead of repeating prompts, you can program how agents behave in your workflow. Learn how hooks work and when to use them.

Visual Studio Code

54,761 views • 4 months ago