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Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the...

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codila

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255,250 просмотров • 2 дней назад •via X (Twitter)

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Anthropic just dropped a 100% free course on Loop Engineering with Fable 5. This is the clearest breakdown of Claude Code and agentic loops you'll find anywhere. People are paying for tutorials that teach less than this one hour does. Watch it today, then read the step by step guide on building loops below.
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Anthropic just dropped a 100% free course on Loop Engineering with Fable 5. This is the clearest breakdown of Claude Code and agentic loops you'll find anywhere. People are paying for tutorials that teach less than this one hour does. Watch it today, then read the step by step guide on building loops below.

Anatoli Kopadze

1,098,991 просмотров • 17 дней назад

Anthropic engineer: "At Anthropic, we don’t write prompts anymore. We build loops." In 45 minutes she shows how the Claude team builds loops that prompt themselves. If this cost $300, people would call it the best agents course of the year. It's free. Watch it, then build your first loop with the step-by-step guide below.
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Anthropic engineer: "At Anthropic, we don’t write prompts anymore. We build loops." In 45 minutes she shows how the Claude team builds loops that prompt themselves. If this cost $300, people would call it the best agents course of the year. It's free. Watch it, then build your first loop with the step-by-step guide below.

Raytar

173,474 просмотров • 6 дней назад

Claude Code creator: "Loops are as big a step as move from source code to agents. Loops - step from agents to the next thing. 30% of my code is fully written by loops right now." in a 40-minute fireside chat, Boris Cherny reveals his actual working setup. Loops + dynamic workflows + routines, and more. Watch the full episode, then read the article on loop engineering below.
41:12

Claude Code creator: "Loops are as big a step as move from source code to agents. Loops - step from agents to the next thing. 30% of my code is fully written by loops right now." in a 40-minute fireside chat, Boris Cherny reveals his actual working setup. Loops + dynamic workflows + routines, and more. Watch the full episode, then read the article on loop engineering below.

Movez

377,816 просмотров • 1 месяц назад

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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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

Lunar

314,771 просмотров • 12 дней назад

Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day." In 45 minutes he shows exactly how to build them from scratch, step by step. Most people are still doing all of this by hand. Watch the session, then read the step by step guide below on building all of them in a single chat, prompts included.
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Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day." In 45 minutes he shows exactly how to build them from scratch, step by step. Most people are still doing all of this by hand. Watch the session, then read the step by step guide below on building all of them in a single chat, prompts included.

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175,453 просмотров • 1 день назад

ANTHROPIC JUST GAVE AWAY THE COURSE EVERYONE ELSE CHARGES FOR it is a free 1 hour class on Loop Engineering built around Fable 5 this is the cleanest breakdown of Claude Code and agentic loops out there right now people are selling paid tutorials that cover less than this hour does you watch it once and you understand how to wire Claude into loops that run real work on their own start with the course, then go deeper on the step by step of building the loops yourself if you want the setup that keeps you ahead of everyone still typing code by hand, i put it all in my article below
1:01:16

ANTHROPIC JUST GAVE AWAY THE COURSE EVERYONE ELSE CHARGES FOR it is a free 1 hour class on Loop Engineering built around Fable 5 this is the cleanest breakdown of Claude Code and agentic loops out there right now people are selling paid tutorials that cover less than this hour does you watch it once and you understand how to wire Claude into loops that run real work on their own start with the course, then go deeper on the step by step of building the loops yourself if you want the setup that keeps you ahead of everyone still typing code by hand, i put it all in my article below

Atlas

30,921 просмотров • 16 дней назад

Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → put everything that never changes at the top - tools, then system, then docs step 2 → mark where the static part ends. everything above it gets cached step 3 → one stray space breaks it - and you pay full price again step 4 → the cache dies in 5 min - every read resets the clock step 5 → cached tokens don't count against your rate limits. free headroom most people never touch this - it pays for itself on day one watch & bookmark - this 1-hour brilliant course ↓
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Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → put everything that never changes at the top - tools, then system, then docs step 2 → mark where the static part ends. everything above it gets cached step 3 → one stray space breaks it - and you pay full price again step 4 → the cache dies in 5 min - every read resets the clock step 5 → cached tokens don't count against your rate limits. free headroom most people never touch this - it pays for itself on day one watch & bookmark - this 1-hour brilliant course ↓

codila

541,337 просмотров • 19 дней назад

Karpathy just proved the structure beats the model - mapped the whole path from loops to graphs into a 15-page PDF: he pointed one agent at code he'd already hand-optimized. 700 experiments in two days, then he said the single loop was never the target here's the full system: step 1 → write the scorer before anything else. one number, automatic, under 10 minutes. no scorer, no loop step 2 → split the files. one the agent edits, one holding the scorer it can never reach step 3 → fix the wall clock per attempt. comparability comes from the budget, not the attempts step 4 → write the never-stop line verbatim or your agent becomes a slower human step 5 → add a second agent only after the first ships real commits. one git worktree each or they overwrite each other step 6 → at thirty agents, isolation costs more than it saves. that's when they need one shared DAG instead of thirty private histories 2.02 hours to 1.80 hours on code its author had already tuned. 90,900 stars in four months. read this PDF and paste it into your Claude, you won't regret it bookmark, then read the article on building graphs from scratch ↓
2:00

Karpathy just proved the structure beats the model - mapped the whole path from loops to graphs into a 15-page PDF: he pointed one agent at code he'd already hand-optimized. 700 experiments in two days, then he said the single loop was never the target here's the full system: step 1 → write the scorer before anything else. one number, automatic, under 10 minutes. no scorer, no loop step 2 → split the files. one the agent edits, one holding the scorer it can never reach step 3 → fix the wall clock per attempt. comparability comes from the budget, not the attempts step 4 → write the never-stop line verbatim or your agent becomes a slower human step 5 → add a second agent only after the first ships real commits. one git worktree each or they overwrite each other step 6 → at thirty agents, isolation costs more than it saves. that's when they need one shared DAG instead of thirty private histories 2.02 hours to 1.80 hours on code its author had already tuned. 90,900 stars in four months. read this PDF and paste it into your Claude, you won't regret it bookmark, then read the article on building graphs from scratch ↓

Carnage

52,473 просмотров • 5 дней назад

Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day" in 45 minutes he shows exactly how to do it from scratch, step by step most people are still doing this manually watch the session, then save the guide below
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Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day" in 45 minutes he shows exactly how to do it from scratch, step by step most people are still doing this manually watch the session, then save the guide below

Anatoli Kopadze

632,200 просмотров • 2 месяцев назад

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below
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Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anatoli Kopadze

27,852 просмотров • 1 месяц назад

Anthropic engineer: "You're not supposed to watch Claude Code work. You're supposed to wake up and review what it shipped" in 22 minutes she builds the full workflow from scratch, step by step a routine that ships work while you sleep most developers have never seen Claude Code run without them watching watch the session, then save the guide below
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Anthropic engineer: "You're not supposed to watch Claude Code work. You're supposed to wake up and review what it shipped" in 22 minutes she builds the full workflow from scratch, step by step a routine that ships work while you sleep most developers have never seen Claude Code run without them watching watch the session, then save the guide below

Anatoli Kopadze

36,055 просмотров • 2 месяцев назад

Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day." In 45 minutes he shows exactly how to do it from scratch, step by step. Most people are still doing all of this by hand. Watch the session, then save the guide below.
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Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day." In 45 minutes he shows exactly how to do it from scratch, step by step. Most people are still doing all of this by hand. Watch the session, then save the guide below.

Anatoli Kopadze

1,494,055 просмотров • 1 месяц назад

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.
1:13:54

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.

Raytar

87,900 просмотров • 24 дней назад

Claude Code team: "we oversimplify agentic engineering - like it's just prompts, just loops No. We need to know what we're doing " "I think Fable smarter than we think and we're hobbling Claude" what he means: step 1 → stop rewriting the prompt, give it a tool, the model that "can't" - answer will grep it in one line step 2 → tell it who YOU are. -"experienced TS engineer, zero context on this module, high-compute - use sub-agents" step 3 → don't skim the report - that's "education movie" - looks great, teaches nothing - make Claude visualize it until it clicks step 4 → anchor the unknown to what you know. color grading landed when Claude called it a shader - pixel in, pixel out step 5 → prototype in cheap HTML first - finding out at 80% done is what he's on the Claude Code team and just drop a new workshop watch & bookmark, find out what he uses instead↓
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Claude Code team: "we oversimplify agentic engineering - like it's just prompts, just loops No. We need to know what we're doing " "I think Fable smarter than we think and we're hobbling Claude" what he means: step 1 → stop rewriting the prompt, give it a tool, the model that "can't" - answer will grep it in one line step 2 → tell it who YOU are. -"experienced TS engineer, zero context on this module, high-compute - use sub-agents" step 3 → don't skim the report - that's "education movie" - looks great, teaches nothing - make Claude visualize it until it clicks step 4 → anchor the unknown to what you know. color grading landed when Claude called it a shader - pixel in, pixel out step 5 → prototype in cheap HTML first - finding out at 80% done is what he's on the Claude Code team and just drop a new workshop watch & bookmark, find out what he uses instead↓

codila

11,581 просмотров • 18 дней назад

The CEO of Citadel started with $265K from his grandmother and turned it into over $90 billion This 46-minute interview explains how he nearly went bankrupt, rebuilt, and became the most profitable hedge fund in history Bookmark & Watch it. Then read the article below a step-by-step guide to building your own trading algorithm on Polymarket ↓
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The CEO of Citadel started with $265K from his grandmother and turned it into over $90 billion This 46-minute interview explains how he nearly went bankrupt, rebuilt, and became the most profitable hedge fund in history Bookmark & Watch it. Then read the article below a step-by-step guide to building your own trading algorithm on Polymarket ↓

Сarm1ne

441,903 просмотров • 3 месяцев назад

Godfather of agents showed how he created the loop engineering that everyone now uses: as PhD student, he wrote the formula every AI agent now runs on - his formula taught agents to self-improve here's the formula: step 1 → stop making the model just think OR just act - make it alternate: think → act → observe → think again step 2 → let it reason out loud before every action - the plan guides the next move, not just the output step 3 → feed the result of each action back in - the model reads what happened and adjusts, live step 4 → when it fails, don't restart make it reflect on WHY it failed, in words, then retry with that memory step 5 → store those reflections - the agent gets better across attempts without any retraining before OpenAI, before he ran Tencent's AI - he was a grad student who quietly wrote the blueprint every agent now follows - now give 90-min course watch & bookmark - then read how the agent systems actually works ↓
1:22:01

Godfather of agents showed how he created the loop engineering that everyone now uses: as PhD student, he wrote the formula every AI agent now runs on - his formula taught agents to self-improve here's the formula: step 1 → stop making the model just think OR just act - make it alternate: think → act → observe → think again step 2 → let it reason out loud before every action - the plan guides the next move, not just the output step 3 → feed the result of each action back in - the model reads what happened and adjusts, live step 4 → when it fails, don't restart make it reflect on WHY it failed, in words, then retry with that memory step 5 → store those reflections - the agent gets better across attempts without any retraining before OpenAI, before he ran Tencent's AI - he was a grad student who quietly wrote the blueprint every agent now follows - now give 90-min course watch & bookmark - then read how the agent systems actually works ↓

codila

28,457 просмотров • 14 дней назад

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.
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I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

CyrilXBT

321,595 просмотров • 1 месяц назад

Anthropic just released a 4-hour course to getting a $500k AI engineering job: 00:15 - The right way to prompt Claude 33:21 - What makes Claude act dumber on your code 01:33:39 - How Anthropic use Claude every day 02:50:56 - The fix that makes Claude way smarter This 4-hour Anthropic free course replaces about 10 paid engineering courses. Watch it today, then read the step-by-step guide on building loops below.
3:46:20

Anthropic just released a 4-hour course to getting a $500k AI engineering job: 00:15 - The right way to prompt Claude 33:21 - What makes Claude act dumber on your code 01:33:39 - How Anthropic use Claude every day 02:50:56 - The fix that makes Claude way smarter This 4-hour Anthropic free course replaces about 10 paid engineering courses. Watch it today, then read the step-by-step guide on building loops below.

Raytar

486,309 просмотров • 23 дней назад

Anthropic Engineer Andrej Karpathy: "Stop training from scratch. Take what the model already learned - adapt it - ship it At OpenAI we replaced months of work with a few lines of code. Better results every time " the Karpathy formula for working with AI: step 1 → stop building from zero. the model already learned the hard part - just point it at your task step 2 → stop adding complexity, the simplest architecture beat everything in 2014 - simpler always wins step 3 → train only the last layer and freeze everything else - minutes instead of months. better results he taught this at Stanford 10 years ago - then applied it at OpenAI, Tesla, and Anthropic the advice never changed - because it never stopped working watch - bookmark, then read article below ↓
23:19

Anthropic Engineer Andrej Karpathy: "Stop training from scratch. Take what the model already learned - adapt it - ship it At OpenAI we replaced months of work with a few lines of code. Better results every time " the Karpathy formula for working with AI: step 1 → stop building from zero. the model already learned the hard part - just point it at your task step 2 → stop adding complexity, the simplest architecture beat everything in 2014 - simpler always wins step 3 → train only the last layer and freeze everything else - minutes instead of months. better results he taught this at Stanford 10 years ago - then applied it at OpenAI, Tesla, and Anthropic the advice never changed - because it never stopped working watch - bookmark, then read article below ↓

codila

24,203 просмотров • 27 дней назад

Amazon AI engineer just explained how to build agentic loops from scratch in under 10-minutes. this is one of the clearest explanations of AI agentic loops you’ll find anywhere. Loop + model + agent + hooks + MCP = an autonomous, self-improving system. People are paying $500 for courses that teach less than this. Watch it, then read the step-by-step guide below on building loops for your own agents.
8:29

Amazon AI engineer just explained how to build agentic loops from scratch in under 10-minutes. this is one of the clearest explanations of AI agentic loops you’ll find anywhere. Loop + model + agent + hooks + MCP = an autonomous, self-improving system. People are paying $500 for courses that teach less than this. Watch it, then read the step-by-step guide below on building loops for your own agents.

Codez

26,868 просмотров • 1 месяц назад