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Anthropic just dropped a free 1-hour AI engineering workshop On how their engineers actually build with AI in 2026: 00:26 - Why prompting is becoming the old way 16:57 - The loop that builds, tests, and fixes its own work 25:27 - How one engineer can do the work... show more

Lunar

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15,125 просмотров • 1 месяц назад •via X (Twitter)

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Anthropic just dropped a 1-hour workshop on how to actually build with AI in 2026: 00:26 - Why they stopped prompting 16:57 - The system that builds, tests, and fixes itself 25:27 - One engineer replacing a 5-person team 36:25 - Building your first loop from scratch This 1-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read the step-by-step guide on building loops below.

Anthropic just dropped a 1-hour workshop on how to actually build with AI in 2026: 00:26 - Why they stopped prompting 16:57 - The system that builds, tests, and fixes itself 25:27 - One engineer replacing a 5-person team 36:25 - Building your first loop from scratch This 1-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read the step-by-step guide on building loops below.

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Anthropic engineer: "Stop re-prompting Claude all day. Build the loop once. Let it do the work." 00:00 - Build your first autonomous agent 05:02 - Make the loop fix its own mistakes 16:43 - Give Claude memory across sessions Prompting is the old workflow. Loops are the new one. This 30-minute watch is worth more than most paid agent courses. Bookmark and watch it today Then read the step-by-step guide below

Anthropic engineer: "Stop re-prompting Claude all day. Build the loop once. Let it do the work." 00:00 - Build your first autonomous agent 05:02 - Make the loop fix its own mistakes 16:43 - Give Claude memory across sessions Prompting is the old workflow. Loops are the new one. This 30-minute watch is worth more than most paid agent courses. Bookmark and watch it today Then read the step-by-step guide below

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Don't waste 2 years building AI agents the wrong way. An Anthropic engineer dropped a 1 hour course on the exact way to build AI agents from scratch. • 00:00 - building a Claude AI agent live • 34:01 - taking AI agents to production • 52:20 - AI agent harness Prompting is the old job. Building AI agentic loops is the new one. This one video replaces 10 paid courses on vibe coding. Bookmark & watch it now. Then build your own AI agent with the guide below.

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Andrej Karpathy: "The future is not writing code. The future is writing the loops that write the code. The leverage point has moved one floor up." This is the shift that defines the next era of coding and quant building. 1 hour of pure insight on agentic AI coding and loop engineering from the OpenAI co-founder who just joined Anthropic to build self improving Claude. Worth more than every $500 vibe coding course combined. Watch it, then read the full guide on how to build your first self improving quant trading loop below.

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Anthropic just dropped their first course after the Fable 5 release. This free 4-hour course is the fastest path to a $500K AI engineering job before 2027. Prompting → agents → memory → loops. From zero to full setup. People pay $500 for courses from "gurus" and still never watch Anthropic's original course. Watch it today. Then read the guide below and build your first loop.

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anthropic research lead: “99% of our engineers use 300+ AI agents working together.” “close the loop. let the AI check its own work.” in a 20-minute talk, an Anthropic team member explains how to build AI agents that can improve themselves. the setup uses Claude with loops, plan mode, and smart workflows. it’s better than most $300 AI agent courses. bookmark this and watch the talk. then read the article below.

anthropic research lead: “99% of our engineers use 300+ AI agents working together.” “close the loop. let the AI check its own work.” in a 20-minute talk, an Anthropic team member explains how to build AI agents that can improve themselves. the setup uses Claude with loops, plan mode, and smart workflows. it’s better than most $300 AI agent courses. bookmark this and watch the talk. then read the article below.

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SpaceXAI engineer (ex. Cursor): "at SpaceXAI, 95% of our code is written by AI agents. Most of engineers are running 10-20+ agents in parallel. I'm running 20+ GrokBot agents with /loop, /goal, /swarm inside pstack, which lets agents fully own, verify and ship tasks." in a 1-hour workshop, SpaceXAI engineer showed how they build self-improving coding agent team from scratch worth more than 10 paid courses on building agents watch today, then read how to build a team of self-learning GrokBot agents from scratch in article below

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Anthropic engineer: «You're not supposed to sit and re-prompt Claude all day. You build one loop, and it does the work while you sleep.» • 00:00 - Build your first agent that runs on its own • 05:02 - The loop that fixes its own mistakes • 16:43 - Why Claude forgets you between chats, and the fix You can learn it in one afternoon. 30 minutes here replace what most people spend a year figuring out. Watch it today, then read the guide on building loops below.

Anthropic engineer: «You're not supposed to sit and re-prompt Claude all day. You build one loop, and it does the work while you sleep.» • 00:00 - Build your first agent that runs on its own • 05:02 - The loop that fixes its own mistakes • 16:43 - Why Claude forgets you between chats, and the fix You can learn it in one afternoon. 30 minutes here replace what most people spend a year figuring out. Watch it today, then read the guide on building loops below.

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Anthropic just dropped 1-hour workshop on loop engineering: 1 spec → the loop → 200 features from 0% to 100%: • 10% → 5:31 - Building memory for agentic loops • 30% → 8:22 - Four files for each Loop: features.json, standards.md, progress.md, • 55% → 11:02 - The Loop: check environment → run tests → pick feature → build → test → commit • 80% → 13:06 - one feature per loop. try everything at once and context dies mid-build • 100% → 33:03 - MVP in 1 hour, every next loop under 30 minutes most people build an agent that finishes a task -Anthropic ships agentic loops that can run for days without you. watch it today - then read the full loop engineering playbook below ↓

Anthropic just dropped 1-hour workshop on loop engineering: 1 spec → the loop → 200 features from 0% to 100%: • 10% → 5:31 - Building memory for agentic loops • 30% → 8:22 - Four files for each Loop: features.json, standards.md, progress.md, • 55% → 11:02 - The Loop: check environment → run tests → pick feature → build → test → commit • 80% → 13:06 - one feature per loop. try everything at once and context dies mid-build • 100% → 33:03 - MVP in 1 hour, every next loop under 30 minutes most people build an agent that finishes a task -Anthropic ships agentic loops that can run for days without you. watch it today - then read the full loop engineering playbook below ↓

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Don't waste 2 years learning to code. Thariq Shihipar, the Anthropic engineer who built Claude Code tells you what to learn instead. 1 hour course. Free: 00:00 - build AI agent with loops 40:47 - prompting Claude with HTML 1:15:07 - Anthropic's coding playbook Writing code is the old job. Building AI agent loops is the new one. Bookmark now & read the article below to build your own AI agent with loops & graphs.

Don't waste 2 years learning to code. Thariq Shihipar, the Anthropic engineer who built Claude Code tells you what to learn instead. 1 hour course. Free: 00:00 - build AI agent with loops 40:47 - prompting Claude with HTML 1:15:07 - Anthropic's coding playbook Writing code is the old job. Building AI agent loops is the new one. Bookmark now & read the article below to build your own AI agent with loops & graphs.

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