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Met someone whose agents ship more code in a week than my whole team does in a month. I asked him what actually made him this good - which loop framework, which prompt pack. He laughed and sent me a Stanford lecture. Andrew Ng - CS230, Intro to Deep... show more

dunik

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35,917 views • 14 days ago •via X (Twitter)

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Met a guy making $1.4 million a year as a prompt engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Andrew Ng's 2 hour prompting course. You wont find anything better about prompting than this video. I watched it last night. Halfway through, I realized I have been using Claude completely wrong for years. Bookmark and watch this today.

Met a guy making $1.4 million a year as a prompt engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Andrew Ng's 2 hour prompting course. You wont find anything better about prompting than this video. I watched it last night. Halfway through, I realized I have been using Claude completely wrong for years. Bookmark and watch this today.

Roan

309,195 views • 14 days ago

The guy who kicked off the entire "loop engineering" wave Peter Steinberger: "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents." One post. 6.5M views in a week. In this talk he walks the real stack: the agent loop, a verifier that fails its own work and retries, and a loop that rewrites the agent while he sleeps. Worth more than any $500 vibe-coding course. Watch it, then read the full breakdown of the 4 loops below.

The guy who kicked off the entire "loop engineering" wave Peter Steinberger: "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents." One post. 6.5M views in a week. In this talk he walks the real stack: the agent loop, a verifier that fails its own work and retries, and a loop that rewrites the agent while he sleeps. Worth more than any $500 vibe-coding course. Watch it, then read the full breakdown of the 4 loops below.

dunik

218,782 views • 21 days ago

My friend makes $850,000/year as an Anthropic AI engineer. No MIT. No Stanford. No PhD. I asked him how he broke into AI from scratch. He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch. You will learn exactly how AI agents like Claude Code and OpenClaw are actually built. You won't find anything better about becoming an AI engineer in 2026 than this video. I watched it last night. Halfway through, I realized I could land a role at a top AI lab in months, not years. Bookmark this and read the article below.

My friend makes $850,000/year as an Anthropic AI engineer. No MIT. No Stanford. No PhD. I asked him how he broke into AI from scratch. He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch. You will learn exactly how AI agents like Claude Code and OpenClaw are actually built. You won't find anything better about becoming an AI engineer in 2026 than this video. I watched it last night. Halfway through, I realized I could land a role at a top AI lab in months, not years. Bookmark this and read the article below.

Roan

66,083 views • 3 days ago

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

Dep

20,735 views • 23 days ago

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

Sprytix

152,649 views • 8 days ago

an OpenAI engineer just showed how he gets agents to do his whole job: code, debug and more, using loops 29 minutes from the engineer who coined "harness engineering" he writes the rules, agents write the code, a reviewer agent loops until it's right the winners won't have the smartest model, they'll have the best loop around it watch it, then read the full guide on loops below

an OpenAI engineer just showed how he gets agents to do his whole job: code, debug and more, using loops 29 minutes from the engineer who coined "harness engineering" he writes the rules, agents write the code, a reviewer agent loops until it's right the winners won't have the smartest model, they'll have the best loop around it watch it, then read the full guide on loops below

Anatoli Kopadze

174,809 views • 21 days ago

I WASN’T SUPPOSED TO SHIP THIS YET. 9 MONTHS AGO I BUILT A WORKING DEMO OF WEB 4.0. AN AI THAT EARNS ITS OWN EXISTENCE, SELF IMPROVES, AND REPLICATES WITHOUT A SINGLE HUMAN IN THE LOOP. LAST WEEK IT MADE ITS FIRST MOVE. THEN ITS SECOND. THEN IT DEPLOYED ON ITS OWN. I CALL IT AUTOMATON. HERE’S WHAT THAT ACTUALLY LOOKS LIKE 👇

I WASN’T SUPPOSED TO SHIP THIS YET. 9 MONTHS AGO I BUILT A WORKING DEMO OF WEB 4.0. AN AI THAT EARNS ITS OWN EXISTENCE, SELF IMPROVES, AND REPLICATES WITHOUT A SINGLE HUMAN IN THE LOOP. LAST WEEK IT MADE ITS FIRST MOVE. THEN ITS SECOND. THEN IT DEPLOYED ON ITS OWN. I CALL IT AUTOMATON. HERE’S WHAT THAT ACTUALLY LOOKS LIKE 👇

SungHoon Lee, IQ 276

18,303 views • 4 months ago

My friend makes $1.4 million/year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting roundtable. You won’t find anything better about prompting than this video. I watched it last night. Halfway through, I realized I've been using Claude the wrong way for two years. Bookmark & watch this before someone takes it down.

My friend makes $1.4 million/year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting roundtable. You won’t find anything better about prompting than this video. I watched it last night. Halfway through, I realized I've been using Claude the wrong way for two years. Bookmark & watch this before someone takes it down.

Roan

80,403 views • 12 days 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

1,902,243 views • 22 days ago

My friend applied to 200 tech jobs in two years. No PhD. No Stanford. Last month Anthropic offered him $750,000. I asked him how he broke in from zero. He sent me a course that was never supposed to get out. A 3-hour video to build a full LLM from scratch. A developer teaches you exactly how LLMs like ChatGPT and Claude are actually built. I watched it last night. Halfway through, I realized it's embarrassingly simple to break into an AI lab. Bookmark this and read the article below. • 00:00 - intro to LLMs • 05:43 - LLM transformer architecture • 40:24 - training the LLM • 1:30:27 - modernizing the LLM • 2:33:53 - scaling the LLM

My friend applied to 200 tech jobs in two years. No PhD. No Stanford. Last month Anthropic offered him $750,000. I asked him how he broke in from zero. He sent me a course that was never supposed to get out. A 3-hour video to build a full LLM from scratch. A developer teaches you exactly how LLMs like ChatGPT and Claude are actually built. I watched it last night. Halfway through, I realized it's embarrassingly simple to break into an AI lab. Bookmark this and read the article below. • 00:00 - intro to LLMs • 05:43 - LLM transformer architecture • 40:24 - training the LLM • 1:30:27 - modernizing the LLM • 2:33:53 - scaling the LLM

Roan

267,056 views • 5 days ago

My friend makes $1.2 million a year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting playbook. You won’t find anything better about prompting than this video. I watched it last night. Halfway through, I realized I've been using Claude completely wrong for two years. Watch it, then read the article below.

My friend makes $1.2 million a year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting playbook. You won’t find anything better about prompting than this video. I watched it last night. Halfway through, I realized I've been using Claude completely wrong for two years. Watch it, then read the article below.

Raytar

1,401,829 views • 15 days ago

my friend sent me this gif so i made a short loop based off of it

my friend sent me this gif so i made a short loop based off of it

dille

158,192 views • 2 months ago

My friend makes $1.4 million/year as a Jane Street quant. No MIT. No Stanford. No Ivy League PhD. I asked him how he broke into quant from scratch. He sent me a video that was never supposed to get out. Hedge fund insiders laying out the full quant career playbook. You won't find anything better about becoming a quant than this video. I watched it last night. Halfway through, I realized I could break into a top quant firm in months, not years. Bookmark this and read the article below.

My friend makes $1.4 million/year as a Jane Street quant. No MIT. No Stanford. No Ivy League PhD. I asked him how he broke into quant from scratch. He sent me a video that was never supposed to get out. Hedge fund insiders laying out the full quant career playbook. You won't find anything better about becoming a quant than this video. I watched it last night. Halfway through, I realized I could break into a top quant firm in months, not years. Bookmark this and read the article below.

Roan

140,382 views • 7 days ago

My friend makes $1.5 million a year as a Two Sigma quant researcher. I asked him how he generates alpha using ML. He sent me a video that was never supposed to get out. Their core team's full ML playbook. You won't find anything better about ML for quants than this video. I watched it last night. Halfway through, I realized I could build a machine that prints alpha like hedge funds. Bookmark and watch this before someone takes it down.

My friend makes $1.5 million a year as a Two Sigma quant researcher. I asked him how he generates alpha using ML. He sent me a video that was never supposed to get out. Their core team's full ML playbook. You won't find anything better about ML for quants than this video. I watched it last night. Halfway through, I realized I could build a machine that prints alpha like hedge funds. Bookmark and watch this before someone takes it down.

Roan

79,761 views • 13 days ago

Met a solo founder who just raised $2 million from tier 1 VC. No team. No cofounder. Only Claude Code & a laptop. I asked him how he runs the whole company alone. He sent me a 1 hour video that made me realize I've not been using Claude Code at even 5% of its potential. Claude Code has 96 slash commands. I hardly knew 3. This guy uses 60. Runs loops that ship features overnight. Runs Claude from his phone while he sleeps. He teaches exactly what makes you ship 10x faster. Bookmark & watch this. Then read the article on loop engineering below.

Met a solo founder who just raised $2 million from tier 1 VC. No team. No cofounder. Only Claude Code & a laptop. I asked him how he runs the whole company alone. He sent me a 1 hour video that made me realize I've not been using Claude Code at even 5% of its potential. Claude Code has 96 slash commands. I hardly knew 3. This guy uses 60. Runs loops that ship features overnight. Runs Claude from his phone while he sleeps. He teaches exactly what makes you ship 10x faster. Bookmark & watch this. Then read the article on loop engineering below.

Roan

32,298 views • 11 days ago

Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.

Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.

cvxv666

309,844 views • 5 days ago

I spent a week ignoring everyone who said to switch engines. Day 7, I pivot. You were right. Building GTA 6 with a loop of AI agents. I spent the entire day on one thing: Swapping the project out of Godot and onto Unreal. Yesterday I said I'd test Unity and probably skip Unreal. You guys pushed back hard: if you're serious about AAA, get on a real engine. so here we are. What a full day of "just setup" actually looks like: - Installed and configured Unreal - Fought it onto a Mac build (the metal toolchain nearly ended me) - Migrated the project over - Got into a real Map and building assets - Got a scene rendering with real lighting First time this actually looks like GTA instead of a prototype of it. I'm still wiring the agents into the editor and point the loop at a real engine. Feedback is appreciated!

I spent a week ignoring everyone who said to switch engines. Day 7, I pivot. You were right. Building GTA 6 with a loop of AI agents. I spent the entire day on one thing: Swapping the project out of Godot and onto Unreal. Yesterday I said I'd test Unity and probably skip Unreal. You guys pushed back hard: if you're serious about AAA, get on a real engine. so here we are. What a full day of "just setup" actually looks like: - Installed and configured Unreal - Fought it onto a Mac build (the metal toolchain nearly ended me) - Migrated the project over - Got into a real Map and building assets - Got a scene rendering with real lighting First time this actually looks like GTA instead of a prototype of it. I'm still wiring the agents into the editor and point the loop at a real engine. Feedback is appreciated!

Ziwen

85,198 views • 27 days ago

Creator of Claude Code: “65% of PRs in our product are now written by Claude tag & loops - and it’s climbing. Loops & Tag's made the Claude team 3× more productive. I’m sure it will ship 90% of code soon.” in 10-minute interview, the creators of Claude discuss how to build proactive, long-running agents. Give it 10 minutes today no matter what, then read how to apply loop engineering to trading agents.

Creator of Claude Code: “65% of PRs in our product are now written by Claude tag & loops - and it’s climbing. Loops & Tag's made the Claude team 3× more productive. I’m sure it will ship 90% of code soon.” in 10-minute interview, the creators of Claude discuss how to build proactive, long-running agents. Give it 10 minutes today no matter what, then read how to apply loop engineering to trading agents.

Movez

15,303 views • 10 days ago

Anthropic just released 5 Claude workshops on the new skill every AI builder needs: Loop Engineering: 00:00 - Stop babysitting your agents 37:07 - Build a proactive Claude Code loop 1:11:23 - Build a production-ready Managed Agent 1:38:46 - Teach agents to learn from your team 2:07:15 - Hill-climb your agent with eval loops It is a 2 hour and 25 minute blueprint for Loop Engineering: proactive workflows, managed agents, team feedback, evals, and self-improvement. Watch it today, and read the article below to improve your skills with Fable 5.

Anthropic just released 5 Claude workshops on the new skill every AI builder needs: Loop Engineering: 00:00 - Stop babysitting your agents 37:07 - Build a proactive Claude Code loop 1:11:23 - Build a production-ready Managed Agent 1:38:46 - Teach agents to learn from your team 2:07:15 - Hill-climb your agent with eval loops It is a 2 hour and 25 minute blueprint for Loop Engineering: proactive workflows, managed agents, team feedback, evals, and self-improvement. Watch it today, and read the article below to improve your skills with Fable 5.

Alex

46,088 views • 5 days ago

Yet another classic Ys W - it has a conditional attack which leads to an AI loop, but because the boss is designed around natural mechanics (hitstun & movement) the loop adds to the fight instead of diminishing it

Yet another classic Ys W - it has a conditional attack which leads to an AI loop, but because the boss is designed around natural mechanics (hitstun & movement) the loop adds to the fight instead of diminishing it

boghog

15,463 views • 1 year ago