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This guy literally broke down everything to build a 21 agent dev team in Claude Code: 0:00 - Why one prompt = AI slop 1:55 - Claude Code as your full startup 2:43 - The 21-agent team 4:57 - Inside the system analyst agent 5:52 - Live demo: 0...

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Aakash Gupta

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178,026 次观看 • 3 个月前 •via X (Twitter)

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This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now
1:36:25

This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now

Aakash Gupta

424,191 次观看 • 3 个月前

She literally showed how she uses adversarial agents in Claude Code to win hackathons and ship features: 2:47 - How she won her hackathon 4:30 - The 5-layer Claude stack 7:17 - Which model to actually use 9:55 - Chat vs Desktop vs Chrome 14:43 - Cowork automations 26:18 - Skills that beat prompts 34:28 - The AI chief of staff build 59:24 - MCPs every PM needs 1:02:16 - Claude Design is here 1:08:53 - Adversarial agents, live 1:13:01 - The new AI builder role 1:15:57 - The 2026 AI PM interview 1:29:06 - Self-improving product loop
1:33:20

She literally showed how she uses adversarial agents in Claude Code to win hackathons and ship features: 2:47 - How she won her hackathon 4:30 - The 5-layer Claude stack 7:17 - Which model to actually use 9:55 - Chat vs Desktop vs Chrome 14:43 - Cowork automations 26:18 - Skills that beat prompts 34:28 - The AI chief of staff build 59:24 - MCPs every PM needs 1:02:16 - Claude Design is here 1:08:53 - Adversarial agents, live 1:13:01 - The new AI builder role 1:15:57 - The 2026 AI PM interview 1:29:06 - Self-improving product loop

Aakash Gupta

163,253 次观看 • 15 天前

Fresh off the launch of Opus 5, Claude Code creator Boris Cherny (Boris Cherny) joins YC's Diana at Startup School 2026 to talk about what the newest models can do, how Claude Code came to be, and what it means to build products when the underlying capabilities keep accelerating. 00:07 — What Makes Opus 5 Different 02:06 — Solving Prompt Injection 03:21 — Why Claude Code Deleted 80% of Its System Prompt 06:37 — Press Delete on Your AI Product 07:20 — How to Rebuild Your System Prompt 10:30 — Product Overhang and “Unhobbling” AI 14:26 — Give Claude Harder Problems 19:32 — Prompt Engineering Is Changing 21:57 — The Two-Week Claude Code Prompt 24:42 — Running Thousands of AI Agents 30:15 — Coding Is (Almost) Solved 32:20 — What Every CS Student Should Still Learn Anthropic Claude
35:51

Fresh off the launch of Opus 5, Claude Code creator Boris Cherny (Boris Cherny) joins YC's Diana at Startup School 2026 to talk about what the newest models can do, how Claude Code came to be, and what it means to build products when the underlying capabilities keep accelerating. 00:07 — What Makes Opus 5 Different 02:06 — Solving Prompt Injection 03:21 — Why Claude Code Deleted 80% of Its System Prompt 06:37 — Press Delete on Your AI Product 07:20 — How to Rebuild Your System Prompt 10:30 — Product Overhang and “Unhobbling” AI 14:26 — Give Claude Harder Problems 19:32 — Prompt Engineering Is Changing 21:57 — The Two-Week Claude Code Prompt 24:42 — Running Thousands of AI Agents 30:15 — Coding Is (Almost) Solved 32:20 — What Every CS Student Should Still Learn Anthropic Claude

Y Combinator

67,375 次观看 • 3 天前

A designer who can ship code is one of the most valuable hires in tech today. Here's my new episode with Felix Lee (CEO of ADPList) where he showed me how to use Claude Code and Figma MCP to go from: ✅ Figma → Code: Design to website in 15 min ✅ Code → Figma: App back to editable design Felix also demoed a few apps he's designed and built in Claude Code, including a 3D globe website and a landing page analyzer. Some takeaways from Felix: 1. Stop pasting screenshots into Claude Code. Instead, use Figma MCP to pull in all your assets, icons, and images automatically. 2. You can use the same MCP to convert code back into editable Figma layers to explore more variations. 3. An underrated way to build: Use FigJam to plan a flowchart of your app first, then paste the link into Claude Code with the MCP. 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams
0:48

A designer who can ship code is one of the most valuable hires in tech today. Here's my new episode with Felix Lee (CEO of ADPList) where he showed me how to use Claude Code and Figma MCP to go from: ✅ Figma → Code: Design to website in 15 min ✅ Code → Figma: App back to editable design Felix also demoed a few apps he's designed and built in Claude Code, including a 3D globe website and a landing page analyzer. Some takeaways from Felix: 1. Stop pasting screenshots into Claude Code. Instead, use Figma MCP to pull in all your assets, icons, and images automatically. 2. You can use the same MCP to convert code back into editable Figma layers to explore more variations. 3. An underrated way to build: Use FigJam to plan a flowchart of your app first, then paste the link into Claude Code with the MCP. 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams

Peter Yang

77,115 次观看 • 4 个月前

Anthropic just dropped a 3-hour course on how to actually master Claude Code, taught by the engineer who built it: 00:07 – everything new in Claude Code 24:39 – Boris Cherny builds a full app live 55:38 – the complete prompting playbook 1:29:07 – the "thinking" lever almost everyone misses 1:52:58 – how to pick the right model for the job 2:24:22 – how Anthropic itself codes with Claude This 3-hour watch will replace 10 paid Claude Code courses on the internet. Watch it now, then read how to build an AI that codes while you sleep, in the article below.
2:55:45

Anthropic just dropped a 3-hour course on how to actually master Claude Code, taught by the engineer who built it: 00:07 – everything new in Claude Code 24:39 – Boris Cherny builds a full app live 55:38 – the complete prompting playbook 1:29:07 – the "thinking" lever almost everyone misses 1:52:58 – how to pick the right model for the job 2:24:22 – how Anthropic itself codes with Claude This 3-hour watch will replace 10 paid Claude Code courses on the internet. Watch it now, then read how to build an AI that codes while you sleep, in the article below.

Phosphen

101,750 次观看 • 21 天前

After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.
2:00

After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.

Tommy Geoco

22,905 次观看 • 9 个月前

💥NEW AI CODING TUTORIAL: 12 Months of Claude Code Lessons in 46 Minutes Claude Code just turned 1. So here's 52 lessons on how to get the most out of Claude Code, organized into 3 levels: Beginner, Intermediate, and Master. TIMESTAMPS 00:00 12 Months of building with Claude Code 02:01 LEVEL 1: Beginner 02:09 Installation and Setup 04:55 Models and Modes 09:04 CLAUDE.md (and what to put in) 10:30 Context Management 11:31 Debugging with Claude 12:22 Version control 14:12 Prompting, Just ask Claude 16:01 LEVEL 2: Intermediate 16:24 Customizations (Skills, Plugins, MCPs) 24:42 Workflows: Plan, Build, Test 29:52 Verifying and Documenting with Claude 33:10 LEVEL 3: Master 34:17 Multi-Agent Development (multi-clauding with git worktrees) 37:07 Self-improving Systems 38:45 Ralph Wiggum Agent Loops 40:11 Async Task Delegation 42:00 Agent Teams, Pre-configure permissions, Hooks 44:42 Continue your learning
45:47

💥NEW AI CODING TUTORIAL: 12 Months of Claude Code Lessons in 46 Minutes Claude Code just turned 1. So here's 52 lessons on how to get the most out of Claude Code, organized into 3 levels: Beginner, Intermediate, and Master. TIMESTAMPS 00:00 12 Months of building with Claude Code 02:01 LEVEL 1: Beginner 02:09 Installation and Setup 04:55 Models and Modes 09:04 CLAUDE.md (and what to put in) 10:30 Context Management 11:31 Debugging with Claude 12:22 Version control 14:12 Prompting, Just ask Claude 16:01 LEVEL 2: Intermediate 16:24 Customizations (Skills, Plugins, MCPs) 24:42 Workflows: Plan, Build, Test 29:52 Verifying and Documenting with Claude 33:10 LEVEL 3: Master 34:17 Multi-Agent Development (multi-clauding with git worktrees) 37:07 Self-improving Systems 38:45 Ralph Wiggum Agent Loops 40:11 Async Task Delegation 42:00 Agent Teams, Pre-configure permissions, Hooks 44:42 Continue your learning

Avthar

62,263 次观看 • 4 个月前

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming
2:28:55

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Lex Fridman

1,261,171 次观看 • 1 年前

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code
1:00:16

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code

Matt Turck

82,161 次观看 • 11 个月前

This guy literally broke down how to master Claude Code (even if you haven't coded before): 05:28 - Level 1: Why you start with Lovable 08:04 - Level 2: The Lovable + Claude Code bridge 28:37 - Level 3: Cursor + Vercel for real production 41:17 - Level 4: Agents, skills, and CLAUDE.md 42:50 - The CLAUDE.md memory file explained 45:24 - The PM orchestrator agent pattern 53:26 - How AI-native teams spend 50% of their time 01:01:33 - Why 90% of European PMs are still non-technical 01:07:45 - The Monday morning move
1:10:11

This guy literally broke down how to master Claude Code (even if you haven't coded before): 05:28 - Level 1: Why you start with Lovable 08:04 - Level 2: The Lovable + Claude Code bridge 28:37 - Level 3: Cursor + Vercel for real production 41:17 - Level 4: Agents, skills, and CLAUDE.md 42:50 - The CLAUDE.md memory file explained 45:24 - The PM orchestrator agent pattern 53:26 - How AI-native teams spend 50% of their time 01:01:33 - Why 90% of European PMs are still non-technical 01:07:45 - The Monday morning move

Aakash Gupta

81,356 次观看 • 2 个月前

How to Make An Entire iOS App That Doesn't Look Like AI Slop (1 Hour Full Walkthrough) Let's go through how to use Claude Code, Claude Design, Seedance 2.0, GPT Image 2.0 and a few other tools to make sure this iOS app is as far from AI slop as possible while also having a completely functioning backend with pay walls 00:00 Building an App Overview 01:19 How I Made Merl in One Week 03:16 Market Research for Ideas 07:04 Choosing the Wrapper Concept 08:51 Pinterest UI Inspiration 11:16 Define Style + Mascot Plan 12:00 Create Mascots in GPT Image 2.0 17:04 Animate Mascots with Seedance 2.0 (!!) 23:41 Design Onboarding in Claude Design 29:01 Getting Some API Keys 30:35 Onboarding Video Choices 32:30 Build Full App Screens on Claude Design 33:28 Setup Supabase + Railway 35:31 Claude Code GitHub Setup 38:57 Multi Terminal + Simulator Workflow 43:17 Fixing Errors 44:00 Backend Keys Integration 46:23 Landing Page Generation 53:52 Test Generation 57:40 RevenueCat + Pricing Strategy 01:00:54 Final Wrap
1:01:51

How to Make An Entire iOS App That Doesn't Look Like AI Slop (1 Hour Full Walkthrough) Let's go through how to use Claude Code, Claude Design, Seedance 2.0, GPT Image 2.0 and a few other tools to make sure this iOS app is as far from AI slop as possible while also having a completely functioning backend with pay walls 00:00 Building an App Overview 01:19 How I Made Merl in One Week 03:16 Market Research for Ideas 07:04 Choosing the Wrapper Concept 08:51 Pinterest UI Inspiration 11:16 Define Style + Mascot Plan 12:00 Create Mascots in GPT Image 2.0 17:04 Animate Mascots with Seedance 2.0 (!!) 23:41 Design Onboarding in Claude Design 29:01 Getting Some API Keys 30:35 Onboarding Video Choices 32:30 Build Full App Screens on Claude Design 33:28 Setup Supabase + Railway 35:31 Claude Code GitHub Setup 38:57 Multi Terminal + Simulator Workflow 43:17 Fixing Errors 44:00 Backend Keys Integration 46:23 Landing Page Generation 53:52 Test Generation 57:40 RevenueCat + Pricing Strategy 01:00:54 Final Wrap

ashen

70,134 次观看 • 3 个月前

She literally broke down how to run evals in Claude Code (built the whole thing live): 01:34 - What people get wrong with evals 04:35 - Why product taste is the alpha now 09:28 - Building a PM agent from one prompt 19:00 - Instrumentation without writing code 22:00 - Watching traces stream in live 28:00 - Getting Claude to write your first eval 33:58 - When vibe evals work and when they don't 48:50 - The self-improving loop (this part is wild) 01:03:00 - Same-day shipping is real 01:06:00 - The context graph unlock
1:19:31

She literally broke down how to run evals in Claude Code (built the whole thing live): 01:34 - What people get wrong with evals 04:35 - Why product taste is the alpha now 09:28 - Building a PM agent from one prompt 19:00 - Instrumentation without writing code 22:00 - Watching traces stream in live 28:00 - Getting Claude to write your first eval 33:58 - When vibe evals work and when they don't 48:50 - The self-improving loop (this part is wild) 01:03:00 - Same-day shipping is real 01:06:00 - The context graph unlock

Aakash Gupta

150,362 次观看 • 2 个月前

No Netflix this Sunday, instead Spend 50 minutes on this Claude tutorial (You’ll learn how to build Claude Skills from scratch) Chapters: 0:00 - Full Claude Skills Guide 0:41 - What are Claude Skills 10:16 - Using Claude Cowork 11:12 - What are Connectors 12:52 - Claude’s Skill Creator 14:07 - The First Claude Skill Idea 14:55 - Installing DBS Framework 15:51 - Creating a Skill using Claude 20:00 - Testing the Skills on Claude 22:10 - Reviewing Skill Evaluations 23:12 - First Claude Skill Complete 24:00 - Using the Claude Skill 25:35 - Complex Claude Skill Idea 27:00 - Enabling Gamma 27:35 - Creating the Complex Claude Skill 29:14 - Answering Claude’s Questions 30:59 - Adding Brand Guide to References 32:05 - Reviewing Skill Draft 32:46 - Testing New Claude Skill 35:40 - Editing the Claude Skill 36:50 - Reviewing Skill Edits 38:10 - Finalizing the Claude Skill 39:30 - Using the Presentation Skill Live 42:15 - Scheduling a Claude Skill 43:55 - Organizing Skills in Departments 45:28 - The Best Way to Master Claude Skills
46:54

No Netflix this Sunday, instead Spend 50 minutes on this Claude tutorial (You’ll learn how to build Claude Skills from scratch) Chapters: 0:00 - Full Claude Skills Guide 0:41 - What are Claude Skills 10:16 - Using Claude Cowork 11:12 - What are Connectors 12:52 - Claude’s Skill Creator 14:07 - The First Claude Skill Idea 14:55 - Installing DBS Framework 15:51 - Creating a Skill using Claude 20:00 - Testing the Skills on Claude 22:10 - Reviewing Skill Evaluations 23:12 - First Claude Skill Complete 24:00 - Using the Claude Skill 25:35 - Complex Claude Skill Idea 27:00 - Enabling Gamma 27:35 - Creating the Complex Claude Skill 29:14 - Answering Claude’s Questions 30:59 - Adding Brand Guide to References 32:05 - Reviewing Skill Draft 32:46 - Testing New Claude Skill 35:40 - Editing the Claude Skill 36:50 - Reviewing Skill Edits 38:10 - Finalizing the Claude Skill 39:30 - Using the Presentation Skill Live 42:15 - Scheduling a Claude Skill 43:55 - Organizing Skills in Departments 45:28 - The Best Way to Master Claude Skills

ZARA

78,785 次观看 • 3 个月前

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community
3:15:51

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community

Lex Fridman

2,054,791 次观看 • 5 个月前

NEW AI CODING TUTORIAL -- 6 Months of Claude Code Community Lessons in 27 Minutes 00:00 Claude: The New King of AI Coding? 02:14 Level 1: Beginner 02:29 Installation 03:37 Todo lists 04:16 Essential Commands 06:35 Debugging with Claude Code 07:57 Claude dot md file 09:33 Message Queue 09:57 Markdown file prompts 10:33 Level 2: Intermediate 10:51 Planning Modes 12:10 Thinking Modes 12:58 More than Code: Research, Documents, Changelogs 15:16 Github Actions Integration 15:59 Mindset for Success with Claude Code 17:23 Level 3: Master 17:48 Parallel Subagents 18:16 Multiple Claudes (aka "multi-clauding") with Git worktrees 19:30 Custom Slash Commands 20:50 Custom Subagents 22:50 MCP Server Usage 24:05 Cost and Value for Money 25:56 Conclusion: What's next?
26:23

NEW AI CODING TUTORIAL -- 6 Months of Claude Code Community Lessons in 27 Minutes 00:00 Claude: The New King of AI Coding? 02:14 Level 1: Beginner 02:29 Installation 03:37 Todo lists 04:16 Essential Commands 06:35 Debugging with Claude Code 07:57 Claude dot md file 09:33 Message Queue 09:57 Markdown file prompts 10:33 Level 2: Intermediate 10:51 Planning Modes 12:10 Thinking Modes 12:58 More than Code: Research, Documents, Changelogs 15:16 Github Actions Integration 15:59 Mindset for Success with Claude Code 17:23 Level 3: Master 17:48 Parallel Subagents 18:16 Multiple Claudes (aka "multi-clauding") with Git worktrees 19:30 Custom Slash Commands 20:50 Custom Subagents 22:50 MCP Server Usage 24:05 Cost and Value for Money 25:56 Conclusion: What's next?

Avthar

42,646 次观看 • 11 个月前

Can a vibe coder make a better app than a senior iOS engineer? - Both of us will use Claude 4.1 Opus - We each get 5 prompts - We each get to pick our stack vs @rileybrown_ai You can win $1000 worth of credits by voting who won below: TIME STAMPS 00:00 Intro 02:47 Getting set up with Claude Code and XCode 05:53 Vishal #1 First Prompt into Claude Code 09:46 Vishal #2 Fixing errors 12:30 Getting set up with 15:00 Riley #1 First Prompt 25:46 Riley #2 Fixing Render Error 30:15 Vishal #3 Creating Folders 34:21 Riley #3 Calendar integration 41:48 Vishal #4 Fixing Folders and more 44:42 Riley #4 Recording Animation, and render error 47:46 Vishal #5 Massive Prompt (Make or break) 50:19 Riley #5 Polishing the app 55:45 Final results / Vote
55:46

Can a vibe coder make a better app than a senior iOS engineer? - Both of us will use Claude 4.1 Opus - We each get 5 prompts - We each get to pick our stack vs @rileybrown_ai You can win $1000 worth of credits by voting who won below: TIME STAMPS 00:00 Intro 02:47 Getting set up with Claude Code and XCode 05:53 Vishal #1 First Prompt into Claude Code 09:46 Vishal #2 Fixing errors 12:30 Getting set up with 15:00 Riley #1 First Prompt 25:46 Riley #2 Fixing Render Error 30:15 Vishal #3 Creating Folders 34:21 Riley #3 Calendar integration 41:48 Vishal #4 Fixing Folders and more 44:42 Riley #4 Recording Animation, and render error 47:46 Vishal #5 Massive Prompt (Make or break) 50:19 Riley #5 Polishing the app 55:45 Final results / Vote

Riley Brown

72,246 次观看 • 11 个月前

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team
1:13:20

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team

Grant

166,363 次观看 • 1 个月前

What does it mean for software engineering when we no longer write the code? Here's the take from Boris Cherny (Boris Cherny), the creator of Claude Code. Timestamps: 00:00 Intro 11:15 Lessons from Meta 19:46 Joining Anthropic 23:08 The origins of Claude Code 32:55 Boris's Claude Code workflow 36:27 Parallel agents 40:25 Code reviews 47:18 Claude Code's architecture 52:38 Permissions and sandboxing 55:05 Engineering culture at Anthropic 1:05:15 Claude Cowork 1:12:48 Observability and privacy 1:14:45 Agent swarms 1:21:16 LLMs and the printing press analogy 1:30:16 Standout engineer archetypes 1:32:12 What skills still matter for engineers 1:35:24 Book recommendations Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Proactively find and fix issues in real-time with the SonarQube MCP Server: • WorkOS – Everything you need to make your app enterprise ready. Three interesting things from this conversation: 1. Boris automated himself out of code review well before AI. Boris was one of the most prolific code reviewers at Meta company. And he worked hard to minimize time spent on code review. His system::every time he left the same kind of review comment, he logged it in a spreadsheet. Once a pattern hit 3-4 occurrences, he’d write a lint rule to automate it away! 2. PRDs are dead on the Claude Code team: prototypes replaced them. Instead of writing Product Requirement Documents (specs), they build hundreds of working prototypes before shipping a feature. Boris: “There’s just no way we could have shipped this if we started with static mocks and Figma or if we started with a PRD.” 3. This is the year of the generalist (and maybe the year of those with ADHD) Boris’s work has shifted from deep-focus single-threaded coding to managing multiple parallel agents and context-switching rapidly. As Boris put it: “It’s not so much about deep work, it’s about how good I am at context switching and jumping across multiple different contexts very quickly.”
1:37:58

What does it mean for software engineering when we no longer write the code? Here's the take from Boris Cherny (Boris Cherny), the creator of Claude Code. Timestamps: 00:00 Intro 11:15 Lessons from Meta 19:46 Joining Anthropic 23:08 The origins of Claude Code 32:55 Boris's Claude Code workflow 36:27 Parallel agents 40:25 Code reviews 47:18 Claude Code's architecture 52:38 Permissions and sandboxing 55:05 Engineering culture at Anthropic 1:05:15 Claude Cowork 1:12:48 Observability and privacy 1:14:45 Agent swarms 1:21:16 LLMs and the printing press analogy 1:30:16 Standout engineer archetypes 1:32:12 What skills still matter for engineers 1:35:24 Book recommendations Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Proactively find and fix issues in real-time with the SonarQube MCP Server: • WorkOS – Everything you need to make your app enterprise ready. Three interesting things from this conversation: 1. Boris automated himself out of code review well before AI. Boris was one of the most prolific code reviewers at Meta company. And he worked hard to minimize time spent on code review. His system::every time he left the same kind of review comment, he logged it in a spreadsheet. Once a pattern hit 3-4 occurrences, he’d write a lint rule to automate it away! 2. PRDs are dead on the Claude Code team: prototypes replaced them. Instead of writing Product Requirement Documents (specs), they build hundreds of working prototypes before shipping a feature. Boris: “There’s just no way we could have shipped this if we started with static mocks and Figma or if we started with a PRD.” 3. This is the year of the generalist (and maybe the year of those with ADHD) Boris’s work has shifted from deep-focus single-threaded coding to managing multiple parallel agents and context-switching rapidly. As Boris put it: “It’s not so much about deep work, it’s about how good I am at context switching and jumping across multiple different contexts very quickly.”

Gergely Orosz

489,599 次观看 • 4 个月前

Your one-minute clock starts now. Prompt 1 to Grok: "Review the video in the post. Create a detailed project requirements document to exactly recreate the app in the video" - about 15 seconds of typing Prompt 2 to Claude Code: "Go into planning mode and create a detailed plan to implement the app described in the attached PRD" - about 15 seconds of typing. Although I did have to come back and type "1" to give it permission to execute the plan. Prompt 3 to Claude Code: "Push this to a public repo." - about 5 seconds of typing All coding about 60 seconds of my time. The longest part was trying to figure out how to screen capture a video with system audio. That flummoxed me for three to four minutes.
0:36

Your one-minute clock starts now. Prompt 1 to Grok: "Review the video in the post. Create a detailed project requirements document to exactly recreate the app in the video" - about 15 seconds of typing Prompt 2 to Claude Code: "Go into planning mode and create a detailed plan to implement the app described in the attached PRD" - about 15 seconds of typing. Although I did have to come back and type "1" to give it permission to execute the plan. Prompt 3 to Claude Code: "Push this to a public repo." - about 5 seconds of typing All coding about 60 seconds of my time. The longest part was trying to figure out how to screen capture a video with system audio. That flummoxed me for three to four minutes.

Wayne Culbreth

615,120 次观看 • 4 个月前

New The Peel with Tony Holdstock-Brown • Inngest - the hidden layer of AI infrastructure - why evals today are "batshit insane" - building Inngest's own cloud to get 20x lower cost - growing 35x YoY after AWS and Cloudflare copied them, and - building a company without a personal brand Timestamps: 0:00 The hidden infra layer every AI agent runs on 1:46 Building complex chains of logic 3:31 Why agent SDK's don't go far enough 4:49 Healthcare was the original event-driven nightmare 6:32 Storing traces on your infrastructure enables self-improving loops 14:26 Why Inngest was already in the right place for AI 15:49 Score agents off product events, not LLM's 17:31 The OpenAI copy-paste signal 21:24 Swap in LLMs and cut costs 23:44 How customers pulled the product forward 25:41 Orchestration belongs outside the sandbox 29:48 Building a neocloud to cut costs 20x 32:09 Most neoclouds just resell AWS 32:54 AI infrastructure is all converging 34:49 Why Claude can't just build your backend 36:44 How to build a software factory 39:12 Agents are a lottery you get addicted to 42:44 Loops must always exist 45:38 If models keep getting better, why orchestrate? 48:28 When incumbents steal your features 52:30 You can't vibe code infrastructure 55:54 Why Tony has no personal brand 59:38 Dev tools GTM without Twitter 1:03:20 Lessons from the founder of DuckDuckGo 1:10:39 Truth as a company value 1:13:08 Taking too long adapting to AI 1:15:10 Startups are 100% R&D 1:17:19 Ali from Databricks 1:19:03 Writing his own code, Voice-to-text with local models 1:23:53 Evals are batshit insane
1:28:55

New The Peel with Tony Holdstock-Brown • Inngest - the hidden layer of AI infrastructure - why evals today are "batshit insane" - building Inngest's own cloud to get 20x lower cost - growing 35x YoY after AWS and Cloudflare copied them, and - building a company without a personal brand Timestamps: 0:00 The hidden infra layer every AI agent runs on 1:46 Building complex chains of logic 3:31 Why agent SDK's don't go far enough 4:49 Healthcare was the original event-driven nightmare 6:32 Storing traces on your infrastructure enables self-improving loops 14:26 Why Inngest was already in the right place for AI 15:49 Score agents off product events, not LLM's 17:31 The OpenAI copy-paste signal 21:24 Swap in LLMs and cut costs 23:44 How customers pulled the product forward 25:41 Orchestration belongs outside the sandbox 29:48 Building a neocloud to cut costs 20x 32:09 Most neoclouds just resell AWS 32:54 AI infrastructure is all converging 34:49 Why Claude can't just build your backend 36:44 How to build a software factory 39:12 Agents are a lottery you get addicted to 42:44 Loops must always exist 45:38 If models keep getting better, why orchestrate? 48:28 When incumbents steal your features 52:30 You can't vibe code infrastructure 55:54 Why Tony has no personal brand 59:38 Dev tools GTM without Twitter 1:03:20 Lessons from the founder of DuckDuckGo 1:10:39 Truth as a company value 1:13:08 Taking too long adapting to AI 1:15:10 Startups are 100% R&D 1:17:19 Ali from Databricks 1:19:03 Writing his own code, Voice-to-text with local models 1:23:53 Evals are batshit insane

Turner Novak 🍌🧢

46,735 次观看 • 13 天前