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Right now, most developers are still doing the job AI should be doing. Assign a task. Wait. Review the result. Fix it. Repeat. You're not building with AI. You're babysitting it. The shift happening now is much bigger than better coding agents. It's loop engineering. Instead of managing every...

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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.
17:30

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

218,959 views • 1 month ago

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch
39:43

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

GREG ISENBERG

80,088 views • 10 days ago

Karpathy just defined the 3 ways you're going to code for the next decade which one you choose determines your salary > Zero AI - writing every line from scratch. pure artisan, very slow > Copilot mode - you're the architect, AI is the autocomplete. where most seniors live now > "VIP coding" - you describe the mission and agents build the feature while you watch the best developers won't be the best coders - they'll be the best at knowing when to stop writing and start orchestrating > if you're still doing copy-paste work manually, you're competing with a machine that does it for free the 32 Claude skills in the article above are how you move to level 3
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Karpathy just defined the 3 ways you're going to code for the next decade which one you choose determines your salary > Zero AI - writing every line from scratch. pure artisan, very slow > Copilot mode - you're the architect, AI is the autocomplete. where most seniors live now > "VIP coding" - you describe the mission and agents build the feature while you watch the best developers won't be the best coders - they'll be the best at knowing when to stop writing and start orchestrating > if you're still doing copy-paste work manually, you're competing with a machine that does it for free the 32 Claude skills in the article above are how you move to level 3

Mr. Buzzoni

11,342 views • 1 month ago

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch
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What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,135 views • 1 month 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
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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

20,782 views • 1 month ago

CEO of Nvidia said something that stopped me cold: "You may or may not lose a job to an AI, but you will absolutely lose a job to someone who uses AI" this 41 minutes is the most important talk on AI you'll watch this year so the question is not whether AI is coming for your job it's whether you're the one using it or the one being replaced by someone who does Nvidia already has hundreds of thousands of agents running inside the company right now agents are not the future, they are how the best teams work today I wrote a step by step guide on how to build your first AI agent with Claude Code you can find it in the article below
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CEO of Nvidia said something that stopped me cold: "You may or may not lose a job to an AI, but you will absolutely lose a job to someone who uses AI" this 41 minutes is the most important talk on AI you'll watch this year so the question is not whether AI is coming for your job it's whether you're the one using it or the one being replaced by someone who does Nvidia already has hundreds of thousands of agents running inside the company right now agents are not the future, they are how the best teams work today I wrote a step by step guide on how to build your first AI agent with Claude Code you can find it in the article below

Anatoli Kopadze

14,627 views • 1 month ago

Anthropic co-founder Jack Clark says the AI frontier is about to cross a much stranger line than coding assistants. "My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, 'Make a better version of yourself.' And it just goes off and does that completely autonomously." The reason: models have moved from basic coding into "the production of science itself" and the "unglamorous but fundamental engineering work" behind large-scale R&D. "An AI system that can build itself [has] big implications, and we'd like to start thinking about it now." That is the actual agent threshold: not demos, not chat UX, but AI becoming part of the loop that improves AI.
1:02

Anthropic co-founder Jack Clark says the AI frontier is about to cross a much stranger line than coding assistants. "My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, 'Make a better version of yourself.' And it just goes off and does that completely autonomously." The reason: models have moved from basic coding into "the production of science itself" and the "unglamorous but fundamental engineering work" behind large-scale R&D. "An AI system that can build itself [has] big implications, and we'd like to start thinking about it now." That is the actual agent threshold: not demos, not chat UX, but AI becoming part of the loop that improves AI.

Karl Mehta

208,701 views • 26 days ago

IT'S NOT THAT HIS FABLE 5 IS MORE CAPABLE THAN YOURS. IT'S THAT HE LETS IT KEEP WORKING. MOST PEOPLE BUY AN AI BUILT TO OPERATE FOR DAYS THEN SHUT IT DOWN AFTER A FEW MINUTES. Nine out of ten users open a chat, assign one task, and close the window. He gives Fable 5 a long-term objective and walks away. It breaks the job into smaller pieces, delegates work to sub-agents, reviews its own outputs with vision, and keeps moving without waiting for another prompt. While you're typing your next request, his system has already finished another task and improved its workflow along the way. The agent that creates the work never decides if it's good enough. A separate evaluator checks every result, and the process repeats until the required standard is met. At $10 per million input tokens and $50 per million output tokens, you pay only for the work completed not a monthly subscription. While he was away, the system generated $7,800 worth of results. Meanwhile, others spent the week opening chats and closing tabs. Most people see a more expensive AI model. He sees an autonomous worker that handles a week's worth of tasks every single day and keeps going long after everyone else has logged off. You finished reading this. The question is whether you'll put it to work or just scroll on.
0:36

IT'S NOT THAT HIS FABLE 5 IS MORE CAPABLE THAN YOURS. IT'S THAT HE LETS IT KEEP WORKING. MOST PEOPLE BUY AN AI BUILT TO OPERATE FOR DAYS THEN SHUT IT DOWN AFTER A FEW MINUTES. Nine out of ten users open a chat, assign one task, and close the window. He gives Fable 5 a long-term objective and walks away. It breaks the job into smaller pieces, delegates work to sub-agents, reviews its own outputs with vision, and keeps moving without waiting for another prompt. While you're typing your next request, his system has already finished another task and improved its workflow along the way. The agent that creates the work never decides if it's good enough. A separate evaluator checks every result, and the process repeats until the required standard is met. At $10 per million input tokens and $50 per million output tokens, you pay only for the work completed not a monthly subscription. While he was away, the system generated $7,800 worth of results. Meanwhile, others spent the week opening chats and closing tabs. Most people see a more expensive AI model. He sees an autonomous worker that handles a week's worth of tasks every single day and keeps going long after everyone else has logged off. You finished reading this. The question is whether you'll put it to work or just scroll on.

Аnnetta

18,642 views • 6 days ago

Hermes Agent just got a free plugin nobody is talking about. And it finally fixes the biggest problem with AI. Right now, your AI agents are a black box. You give them a job. They go quiet. You cross your fingers and hope they do it right. If they fail, you have no clue why. Hermes Labyrinth changes the game. It works like a flight recorder for your AI. It maps out every single move your agent makes. Every prompt it writes. Every web search it tries. Every time it switches to a smarter model. You see the exact path it took from start to finish. It is totally read-only, so it cannot break your system. It even hides your secret passwords automatically. Setup takes exactly two lines of code. Drop it in your plugins folder and restart your dashboard. Stop guessing what your AI is doing behind your back.
9:18

Hermes Agent just got a free plugin nobody is talking about. And it finally fixes the biggest problem with AI. Right now, your AI agents are a black box. You give them a job. They go quiet. You cross your fingers and hope they do it right. If they fail, you have no clue why. Hermes Labyrinth changes the game. It works like a flight recorder for your AI. It maps out every single move your agent makes. Every prompt it writes. Every web search it tries. Every time it switches to a smarter model. You see the exact path it took from start to finish. It is totally read-only, so it cannot break your system. It even hides your secret passwords automatically. Setup takes exactly two lines of code. Drop it in your plugins folder and restart your dashboard. Stop guessing what your AI is doing behind your back.

Julian Goldie SEO

16,351 views • 2 months ago

The 6174 test! Grok wins! I have 1000s of unique tests I use for AI that few in AI use. I will open source this one. Prompt this and stand back (it burns GPUs something fierce): Prompt: “Explain in detail the 6174 system where you pick 4 numbers arrange them from highest to lowest than on another line from lowest to highest than you subtract, use that result and do the same system again, and by the 4th iteration you will always have the number 6174. Please explain why it works” Few AI platforms can handle this prompt and get it right. I have some variations that will still produce errors on the best AI platforms and cause a loop (it crashed a well known AI platform a few months back, I got a call!). This is not the most complex test I have. I feel strongly that passing the known benchmarks as a measure of an AI’s power is only a small part of if an AI is “better”. Thus I must thank Elon Musk and the entire xAI team for doing the absolute best and astonishing output. Grok it:
2:34

The 6174 test! Grok wins! I have 1000s of unique tests I use for AI that few in AI use. I will open source this one. Prompt this and stand back (it burns GPUs something fierce): Prompt: “Explain in detail the 6174 system where you pick 4 numbers arrange them from highest to lowest than on another line from lowest to highest than you subtract, use that result and do the same system again, and by the 4th iteration you will always have the number 6174. Please explain why it works” Few AI platforms can handle this prompt and get it right. I have some variations that will still produce errors on the best AI platforms and cause a loop (it crashed a well known AI platform a few months back, I got a call!). This is not the most complex test I have. I feel strongly that passing the known benchmarks as a measure of an AI’s power is only a small part of if an AI is “better”. Thus I must thank Elon Musk and the entire xAI team for doing the absolute best and astonishing output. Grok it:

Brian Roemmele

63,704 views • 1 year ago

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below
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Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

Anatoli Kopadze

15,625 views • 1 month ago

sam altman, ceo of openAI, said: “it’s now very much possible to build a one-man billion dollar company.” the best thing you can do for yourself right now is bet on AI, we’re nowhere near the saturation point. there’s no better time to start your solopreneur journey than today. in the article below, I broke down 5 AI business models you can start right now. give it a read and start your journey.
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sam altman, ceo of openAI, said: “it’s now very much possible to build a one-man billion dollar company.” the best thing you can do for yourself right now is bet on AI, we’re nowhere near the saturation point. there’s no better time to start your solopreneur journey than today. in the article below, I broke down 5 AI business models you can start right now. give it a read and start your journey.

m0h

14,478 views • 2 months ago

Introducing the Legora Agent: the execution engine at the core of the Legora aOS™. Most legal AI responds to prompts. The Agent executes objectives. You give it a goal and it builds a plan, presents it for approval, then carries the work out end-to-end — selecting the right tools as it goes, whether that's research, drafting, or review. It keeps working while you review, instead of waiting for the next prompt — while you're with clients, with family, or even while you sleep. It isn’t a tool you use. It's a super-associate you supervise. The Legora Agent is live today. Read the announcement here:
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Introducing the Legora Agent: the execution engine at the core of the Legora aOS™. Most legal AI responds to prompts. The Agent executes objectives. You give it a goal and it builds a plan, presents it for approval, then carries the work out end-to-end — selecting the right tools as it goes, whether that's research, drafting, or review. It keeps working while you review, instead of waiting for the next prompt — while you're with clients, with family, or even while you sleep. It isn’t a tool you use. It's a super-associate you supervise. The Legora Agent is live today. Read the announcement here:

Legora

36,858 views • 1 month ago

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 views • 1 month ago

Introducing Loop The autonomous business manager that runs your outreach, your follow-ups, and your pipeline,while you focus on the work only you can do. Loop doesn't live in your inbox. Your inbox lives in Loop. Reads every lead like a teammate who's been on your team for years Writes the reply, makes the call, chases the deal when email goes cold Pauses the moment a human actually needs to show up Replaces the patchwork of CRMs, outreach tools, and follow-up apps with one system that does the work Stop managing tools. Start running your loop. comment "loop" and we'll send you in. loop
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Introducing Loop The autonomous business manager that runs your outreach, your follow-ups, and your pipeline,while you focus on the work only you can do. Loop doesn't live in your inbox. Your inbox lives in Loop. Reads every lead like a teammate who's been on your team for years Writes the reply, makes the call, chases the deal when email goes cold Pauses the moment a human actually needs to show up Replaces the patchwork of CRMs, outreach tools, and follow-up apps with one system that does the work Stop managing tools. Start running your loop. comment "loop" and we'll send you in. loop

Anushka Singh

12,540 views • 1 month ago

The winners won't be AI experts. They'll be domain experts with AI agents. Here's how it plays out: - Phase 1: Being digitally native was the advantage - Phase 2: Being AI native was the advantage - Phase 3: Using AI Agents is the advantage ← we are here - Phase 4: Building agents that critique your agents The move right now: - Make an agent that loops against your output. - Before anything publishes, it asks: "Is this a 9/10 on these metrics?" If not, it rewrites. Tests. Learns. AI skills get commoditized. AI systems compound. I'm rooting for you. Go build the system.
3:39

The winners won't be AI experts. They'll be domain experts with AI agents. Here's how it plays out: - Phase 1: Being digitally native was the advantage - Phase 2: Being AI native was the advantage - Phase 3: Using AI Agents is the advantage ← we are here - Phase 4: Building agents that critique your agents The move right now: - Make an agent that loops against your output. - Before anything publishes, it asks: "Is this a 9/10 on these metrics?" If not, it rewrites. Tests. Learns. AI skills get commoditized. AI systems compound. I'm rooting for you. Go build the system.

The Startup Ideas Podcast (SIP) 🧃

12,249 views • 5 months ago

🚀 I wrote one line… and an entire AI team started running a business. No hiring. No setup. No waiting. This isn’t hype. This is what naïve actually does. Here’s how it works 👇 1️⃣ You describe your idea 2️⃣ AI instantly creates a team of agents 3️⃣ They start executing — right away Each agent operates like a real employee: → has its own email → manages tasks independently → coordinates with other agents → works in parallel So instead of doing everything yourself… Your AI team is: → booking calls → writing content → building products → handling support → managing operations You’re not prompting a tool anymore. You’re watching a system run your company. 📊 Early users are already seeing: +32% growth week-over-week +42% more tasks completed 💡 The shift is simple: From building a team → to deploying one with a prompt You don’t need a co-founder. You don’t need a full team. You just need one idea. Try it here → #NaiveAI #AI #Automation #Startups #FutureOfWork
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🚀 I wrote one line… and an entire AI team started running a business. No hiring. No setup. No waiting. This isn’t hype. This is what naïve actually does. Here’s how it works 👇 1️⃣ You describe your idea 2️⃣ AI instantly creates a team of agents 3️⃣ They start executing — right away Each agent operates like a real employee: → has its own email → manages tasks independently → coordinates with other agents → works in parallel So instead of doing everything yourself… Your AI team is: → booking calls → writing content → building products → handling support → managing operations You’re not prompting a tool anymore. You’re watching a system run your company. 📊 Early users are already seeing: +32% growth week-over-week +42% more tasks completed 💡 The shift is simple: From building a team → to deploying one with a prompt You don’t need a co-founder. You don’t need a full team. You just need one idea. Try it here → #NaiveAI #AI #Automation #Startups #FutureOfWork

Haider Anis

213,477 views • 2 months ago

Anthropic Engineer Andrej Karpathy: "The biggest mistake in AI right now - people are forcing agents to work instead of mastering the model first We made that mistake in 2016 at OpenAI - It cost us 5 years " what Karpathy actually means: step 1 → stop forcing your agent to do everything, understand the model underneath first step 2 → demos are easy - products take a decade. self-driving proved it - if you skip the foundation, everything breaks step 3 → the agent is not the product. the foundation is. build that - and agents emerge on their own "you building agents right now - you're at the forefront. not OpenAI. not DeepMind. you " watch - bookmark, then read article below ↓
5:39

Anthropic Engineer Andrej Karpathy: "The biggest mistake in AI right now - people are forcing agents to work instead of mastering the model first We made that mistake in 2016 at OpenAI - It cost us 5 years " what Karpathy actually means: step 1 → stop forcing your agent to do everything, understand the model underneath first step 2 → demos are easy - products take a decade. self-driving proved it - if you skip the foundation, everything breaks step 3 → the agent is not the product. the foundation is. build that - and agents emerge on their own "you building agents right now - you're at the forefront. not OpenAI. not DeepMind. you " watch - bookmark, then read article below ↓

codila

1,900,670 views • 19 days ago

Marc Andreessen explains why AI coding won't replace programmers, but fundamentally change what they do. He argues that AI coding is just the latest abstraction layer, and the job of a programmer has always evolved with each one. Andreessen's key reframe of what's actually happening: "AI coding actually abstracts away the process of actually writing the scripting code... This is the next layer of the task redefinition under the job of programmer." He's clear that the best programmers aren't being replaced. They're already adapting, even if their day-to-day looks radically different now. Their job has shifted from writing code line by line to managing dozens of AI agents working in parallel. "The world's best programmers today will tell you, 'My job is I'm sitting there and I'm orchestrating 10 code bots running in parallel.' Their day job now is kind of arguing with the AI bots to try to get them to write the right code." But Marc Andreessen 🇺🇸 is adamant this doesn't make foundational knowledge obsolete — it makes it more important. "You need to still fully understand and learn how to write and understand code, because if it doesn't work or it's not doing what you expect, you need to be able to understand the results of what the AI is giving you." He draws a direct parallel: Just as someone writing scripting languages still needs to understand how a microprocessor works, someone orchestrating AI bots needs to understand the code those bots produce. "It's this upleveling of capability where you actually want the depth to go down and understand what the thing is actually doing, even if you're not spending your day doing that by hand." The result, in his view, is transformative: "Now programmers are going to be 10 times or 100 times or a thousand times more productive. And that is overwhelmingly a good thing." The pattern: New abstraction layer emerges → tasks change → the job gets redefined upward → productivity explodes It raises a question every programmer should be sitting with... Are you building the depth to evaluate what AI gives you, or just accepting the output?
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Marc Andreessen explains why AI coding won't replace programmers, but fundamentally change what they do. He argues that AI coding is just the latest abstraction layer, and the job of a programmer has always evolved with each one. Andreessen's key reframe of what's actually happening: "AI coding actually abstracts away the process of actually writing the scripting code... This is the next layer of the task redefinition under the job of programmer." He's clear that the best programmers aren't being replaced. They're already adapting, even if their day-to-day looks radically different now. Their job has shifted from writing code line by line to managing dozens of AI agents working in parallel. "The world's best programmers today will tell you, 'My job is I'm sitting there and I'm orchestrating 10 code bots running in parallel.' Their day job now is kind of arguing with the AI bots to try to get them to write the right code." But Marc Andreessen 🇺🇸 is adamant this doesn't make foundational knowledge obsolete — it makes it more important. "You need to still fully understand and learn how to write and understand code, because if it doesn't work or it's not doing what you expect, you need to be able to understand the results of what the AI is giving you." He draws a direct parallel: Just as someone writing scripting languages still needs to understand how a microprocessor works, someone orchestrating AI bots needs to understand the code those bots produce. "It's this upleveling of capability where you actually want the depth to go down and understand what the thing is actually doing, even if you're not spending your day doing that by hand." The result, in his view, is transformative: "Now programmers are going to be 10 times or 100 times or a thousand times more productive. And that is overwhelmingly a good thing." The pattern: New abstraction layer emerges → tasks change → the job gets redefined upward → productivity explodes It raises a question every programmer should be sitting with... Are you building the depth to evaluate what AI gives you, or just accepting the output?

Big Brain AI

45,270 views • 5 months ago

Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.
6:52

Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.

Mckay Wrigley

190,105 views • 1 year ago