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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... show more

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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 to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇

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 to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇

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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.

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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

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Anthropic engineers just showed how to build agentic systems that run for days using "loops." "At Anthropic, >30% of our code is already written by loops - that's how we ship so fast. in this 40-minute workshop, they reveal the whole stack: agent loop + harness + memory + sub-agents. Worth more than any $500 vibe-coding course. Watch workshop today, then read article below.

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SpaceXAI engineer (ex-Cursor): "GrokBot is the most powerful agentic tool we have build so far, but 1% of people use it correctly at SpaceXAI, 85% of our engineers running 10+ GrokBot agents team. I have a Chief of Staff agent, it knows other agents and manages everything" in a 1-hour workshop, SpaceXAI engineers revealed how to build a GTM team with GrokBot agents from scratch this is worth more than a $500 paid course on how to build self-learning agents watch the workshop, read the article below and ship a fully autonomous GrokBot team tomorrow

SpaceXAI engineer (ex-Cursor): "GrokBot is the most powerful agentic tool we have build so far, but 1% of people use it correctly at SpaceXAI, 85% of our engineers running 10+ GrokBot agents team. I have a Chief of Staff agent, it knows other agents and manages everything" in a 1-hour workshop, SpaceXAI engineers revealed how to build a GTM team with GrokBot agents from scratch this is worth more than a $500 paid course on how to build self-learning agents watch the workshop, read the article below and ship a fully autonomous GrokBot team tomorrow

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SpaceXAI engineer (ex-Cursor): "I'm running 10-20 GrokBot agents right now, and they handle 90% of my routine. I don't even manage them, I have a Chief of Staff agent that knows all the others and manages everything." 50 minutes from a SpaceXAI engineer, showing exactly how to build a team of agents that works for you 24/7. Worth more than any $700 course on agentic engineering. Watch it, then read the step-by-step guide on building your own Grok agent team for free, with ready-to-copy prompts.

SpaceXAI engineer (ex-Cursor): "I'm running 10-20 GrokBot agents right now, and they handle 90% of my routine. I don't even manage them, I have a Chief of Staff agent that knows all the others and manages everything." 50 minutes from a SpaceXAI engineer, showing exactly how to build a team of agents that works for you 24/7. Worth more than any $700 course on agentic engineering. Watch it, then read the step-by-step guide on building your own Grok agent team for free, with ready-to-copy prompts.

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SpaceXAI engineer, Lauren Tan: "99% of people using GrokBot just for 1% of its real power. They run 1 agent without "loop" & "graph" I'm running a team of 20+ GrokBot agents, fully autonomous. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer showed how to build a team of effective AI agents from scratch this is worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below

SpaceXAI engineer, Lauren Tan: "99% of people using GrokBot just for 1% of its real power. They run 1 agent without "loop" & "graph" I'm running a team of 20+ GrokBot agents, fully autonomous. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer showed how to build a team of effective AI agents from scratch this is worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below

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They built an AI agent in 20 minutes and sold it to Anthropic for $100k - and at Stanford showed how to repeat it from scratch: 02:00 - how to build your first agent with Opus 5 in 20 minutes 22:34 - one agent replaces an Anthropic engineering team worth $200k a year 49:47 - how to make $1.2M a year selling agents to Anthropic and Google after watching I spent 20 minutes in Claude Code - the agent replaced 10 Anthropic engineers and they paid $100k and asked for more. save & watch - the article below shows how to build an agent in Claude Code in 20 minutes and reach $1.2M a year.

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Creator of Claude Code: "At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops self-improving loops help agents become better with each run." in a 1-hour podcast, Boris explains how they build agents loops from sratch. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then read how to apply the same playbook to quant trading below.

Creator of Claude Code: "At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops self-improving loops help agents become better with each run." in a 1-hour podcast, Boris explains how they build agents loops from sratch. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then read how to apply the same playbook to quant trading below.

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this chinese developer making $320k/year as a solo contractor his secret: 5 AI agents running in parallel, each one a specialist architect, coder, reviewer, tester, ops they don’t share context, don’t step on each other, just ship he takes on projects meant for teams of 5-8 engineers delivers in half the time keeps the entire budget found this video on bilibili at 3am and watched it four times guy sitting at his desk, two monitors filled with code, and he’s barely touching the keyboard here’s what’s happening on his screen: > agent 1 (architect): designs system structure, breaks down features into tasks, decides what gets built first > agent 2 (coder): writes the actual implementation based on architect’s specs > agent 3 (reviewer): checks every piece of code for bugs, edge cases, security issues > agent 4 (tester): generates test cases, runs them, reports failures back > agent 5 (ops): handles deployment, monitoring, infrastructure five separate claude code instances running simultaneously each one has its own system prompt, its own context, its own specialty they communicate through a shared task queue, not through each other that’s the key insight - no shared context means no conflicts agent 2 doesn’t know what agent 3 is doing agent 4 doesn’t care what agent 1 decided they just pick up tasks, complete them, move on he showed his contract history: > 3D rendering pipeline for a gaming studio: $25k > automated trading dashboard: $33k > enterprise CRM rebuild: $44k all completed solo, all delivered early, all clients thought they were hiring a team the code on his screen is python with blender integration - complex stuff that would normally require 3-4 specialists he’s shipping it in days while the client expects weeks while he’s explaining the system to camera, commits are happening in the background, tests running, deployments going out all while he’s literally not touching the keyboard his API costs run about $2k/month his revenue averages $26k/month that’s a 13x return on his AI investment this is the new solo developer playbook don’t compete with teams become the team

this chinese developer making $320k/year as a solo contractor his secret: 5 AI agents running in parallel, each one a specialist architect, coder, reviewer, tester, ops they don’t share context, don’t step on each other, just ship he takes on projects meant for teams of 5-8 engineers delivers in half the time keeps the entire budget found this video on bilibili at 3am and watched it four times guy sitting at his desk, two monitors filled with code, and he’s barely touching the keyboard here’s what’s happening on his screen: > agent 1 (architect): designs system structure, breaks down features into tasks, decides what gets built first > agent 2 (coder): writes the actual implementation based on architect’s specs > agent 3 (reviewer): checks every piece of code for bugs, edge cases, security issues > agent 4 (tester): generates test cases, runs them, reports failures back > agent 5 (ops): handles deployment, monitoring, infrastructure five separate claude code instances running simultaneously each one has its own system prompt, its own context, its own specialty they communicate through a shared task queue, not through each other that’s the key insight - no shared context means no conflicts agent 2 doesn’t know what agent 3 is doing agent 4 doesn’t care what agent 1 decided they just pick up tasks, complete them, move on he showed his contract history: > 3D rendering pipeline for a gaming studio: $25k > automated trading dashboard: $33k > enterprise CRM rebuild: $44k all completed solo, all delivered early, all clients thought they were hiring a team the code on his screen is python with blender integration - complex stuff that would normally require 3-4 specialists he’s shipping it in days while the client expects weeks while he’s explaining the system to camera, commits are happening in the background, tests running, deployments going out all while he’s literally not touching the keyboard his API costs run about $2k/month his revenue averages $26k/month that’s a 13x return on his AI investment this is the new solo developer playbook don’t compete with teams become the team

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SpaceXAI engineer, Lauren Tan: "I'm running 20+ GrokBot agents with /loop, /goal, inside pstack. My bots shipping code even when I sleep at SpaceXAI, 85% of our engineers running 10+ GrokBot agents as a team. I have a Chief of Staff agent, it knows other agents and manages everything" in a 1-hour workshop, a SpaceXAI engineer revealed how to build a team of GrokBot agents from scratch worth more than a $500 agentic engineering course watch today, then read the article on how to build a team of GrokBot agents from scratch

SpaceXAI engineer, Lauren Tan: "I'm running 20+ GrokBot agents with /loop, /goal, inside pstack. My bots shipping code even when I sleep at SpaceXAI, 85% of our engineers running 10+ GrokBot agents as a team. I have a Chief of Staff agent, it knows other agents and manages everything" in a 1-hour workshop, a SpaceXAI engineer revealed how to build a team of GrokBot agents from scratch worth more than a $500 agentic engineering course watch today, then read the article on how to build a team of GrokBot agents from scratch

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Anthropic engineer: "90% of our engineers were using self-improving loops. Now everyone shifted to building Graphs." In 20 minutes he shows how Anthropic builds agents that remember across sessions and learn while they sleep. The missing piece most engineers miss: a loop resets, a graph compounds. Watch it, then try your first graph with the step-by-step guide below

Anthropic engineer: "90% of our engineers were using self-improving loops. Now everyone shifted to building Graphs." In 20 minutes he shows how Anthropic builds agents that remember across sessions and learn while they sleep. The missing piece most engineers miss: a loop resets, a graph compounds. Watch it, then try your first graph with the step-by-step guide below

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