this is f*cking gold Andrej Karpathy joined Anthropic five weeks ago. A friend on his team just showed me the exact LOOPS.md file he actually uses. I dropped it into my setup. The very first response was different. Not slightly different. Completely different. Claude stopped giving generic answers and started working exactly the way I think. You don't talk to the model anymore. You build the system that talks to the model for you. Bookmark it before it gets lost in your feed. Read it now, then check the article below.

Anthropic's CEO: "software engineering will be fully automated in 12 months." two types of people right now: type 1: uses Claude Code with basic prompts. scared about the future. type 2: knows all 35 commands, tricks, and workflows. ships faster than a team of 5. type 1 gets replaced in 12 months. type 2 does the replacing. I wrote a full guide on how to start. zero experience needed.

Anthropic's CEO: "software engineering will be fully automated in 12 months." two types of people right now: type 1: uses Claude Code with basic prompts. scared about the future. type 2: knows all 35 commands, tricks, and workflows. ships faster than a team of 5. type 1 gets replaced in 12 months. type 2 does the replacing. I wrote a full guide on how to start. zero experience needed.

A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems. The shift: you stop prompting the agent. You build the system that prompts it instead. Schedule → Discover → Build → Verify → Repeat Every loop runs one turn, five moves: • Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list. • Handoff: each task gets an isolated git worktree so parallel agents don't collide. • Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no." • Persistence: results get written to disk, never left in a context window that gets flushed. • Scheduling: an automation wakes it on a timer. That's what makes it a loop. The key insight: an agent grading its own work always praises it. This 11-page PDF changed how I'm building agentic systems today. Bookmark this. Read the PDF first. Then the article.

INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT. This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years. Bookmark it and give it an hour, no matter what.

INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT. This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years. Bookmark it and give it an hour, no matter what.

A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems. The shift: you stop prompting the agent. You build the system that prompts it instead. Schedule → Discover → Build → Verify → Repeat Every loop runs one turn, five moves: • Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list. • Handoff: each task gets an isolated git worktree so parallel agents don't collide. • Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no." • Persistence: results get written to disk, never left in a context window that gets flushed. • Scheduling: an automation wakes it on a timer. That's what makes it a loop. The key insight: an agent grading its own work always praises it. This 11-page PDF changed how I'm building agentic systems today. Bookmark this. Read the PDF first. Then the article.

Anthropic just dropped a 1-hour free course on Loop Engineering with Fable 5. 00:26 - Why they stopped prompting 16:57 - Agentic loops, long-running AI agents 25:27 - One engineer replacing a 5-person team 36:25 - Building your first loop from scratch People are paying for tutorials that teach less than this one hour does. Watch it today, then read the guide on building loops below.

Anthropic just dropped a 1-hour free course on Loop Engineering with Fable 5. 00:26 - Why they stopped prompting 16:57 - Agentic loops, long-running AI agents 25:27 - One engineer replacing a 5-person team 36:25 - Building your first loop from scratch People are paying for tutorials that teach less than this one hour does. Watch it today, then read the guide on building loops below.

Boris Cherny, the creator of Claude Code at Anthropic, just explained why most people aren't getting real results from Claude in this podcast he breaks down exactly how most people never actually set up Claude: - the 14% you lose to CLAUDE.md before typing a word - the features that change how Claude thinks before you type a word - the settings 95% of users have never opened - the workflows hiding behind one toggle if you've been using Claude for more than a month and never left the chat window, you have at least 30 untouched features. probably 38 instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Boris Cherny, the creator of Claude Code at Anthropic, just explained why most people aren't getting real results from Claude in this podcast he breaks down exactly how most people never actually set up Claude: - the 14% you lose to CLAUDE.md before typing a word - the features that change how Claude thinks before you type a word - the settings 95% of users have never opened - the workflows hiding behind one toggle if you've been using Claude for more than a month and never left the chat window, you have at least 30 untouched features. probably 38 instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Claude Code team just dropped a free course on loop engineering with Fable 5: 00:00 - how Claude Code works under the hood 05:01 - the agentic loop explained 16:21 - building agents with Fable 5 19:01 - why voice beats typing 32:34 - how to deploy agents with Fable 5 58:39 - Fable 5 for non-code work this 30-minute watch will replace 10 paid courses about prompting Claude. Bookmark this and read the article below.

this is f**king gold Kimi K3 is live, and the weights are open in 11 days. 2.8 trillion parameters. 1 million context. native multimodal. built for agentic coding that runs for hours. here is why this is different: 1. it's open. a frontier-scale model, weights public by july 27. 2. million-token context means it never loses the thread across an entire codebase. 3. 6.3x faster decoding in long contexts. the usual "long context is too slow" excuse is gone. 4. ~25% higher training efficiency at under 2% extra cost. the architecture itself is a breakthrough. the story isn't just the model. it's that this level of intelligence is becoming open and accessible. that's the thing subscriptions can't compete with long-term. save and bookmark this no matter what. it will be the most productive thing you do this weekend

Claude Code team just dropped a free course on loop engineering with Fable 5: 00:00 - how Claude Code works under the hood 05:01 - the agentic loop explained 16:21 - building agents with Fable 5 19:01 - why voice beats typing 32:34 - how to deploy agents with Fable 5 58:39 - Fable 5 for non-code work this 30-minute watch will replace 10 paid courses about prompting Claude. Bookmark this and read the article below.

Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Bookmark this. Watch this weekend.

Someone turned Claude into an entire company. 42 skills, organised like a real org chart (links below): Here is every department, and where to get each one. Developers Superpowers → Context7 → Skill Creator → MCP Builder → Webapp Testing → Claude-Mem → Designers UI UX Pro Max → Taste → Frontend Design → Transitions → Web Artifacts → Brand Guidelines → Marketing 45 skills to run your marketing, from copywriting to SEO to lead magnets. Access them all here → Social Media 17 skills to run your social media, from post writing to Reels to thumbnails. Access them all here → Finance 8 skills to run your finances, from statements to reconciliation to audits. Access them all here → Small Business 31 skills to run your small business, from cash flow to payroll to invoicing. Access them all here → Legal 9 skills to handle your legal work, from contract review to NDAs to compliance. Access them all here → Every skill on the chart is real and installable from the links above. Same departments. Same output. No payroll. Bookmark this.

Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Bookmark this. Watch this weekend.

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 26 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.

Ex-Google AI engineer: "We will be running hundreds of agents working for us in the near future. I'm running 40 agents in parallel. I have built a $50,000 marketing team for just $500 using AI." In 15 minutes she shows exactly how to build an agent that improves itself. Most people are still doing all of this by hand. Worth more than a $500 AI course on the internet. Watch today, then read the article below on the same workflow.

Ex-Google AI engineer: "We will be running hundreds of agents working for us in the near future. I'm running 40 agents in parallel. I have built a $50,000 marketing team for just $500 using AI." In 15 minutes she shows exactly how to build an agent that improves itself. Most people are still doing all of this by hand. Worth more than a $500 AI course on the internet. Watch today, then read the article below on the same workflow.