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GitButler is redesigning the version control experience for you and your agents. We're very excited to lead their Series A. In this conversation, GitButler CEO Scott Chacon joins a16z GP Matt Bornstein to discuss: - Why Scott came back to version control after GitHub - Why Git's UI has...

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a16z

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29,134 次观看 • 4 个月前 •via X (Twitter)

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a16z

42,120 次观看 • 2 个月前

Trillions in AI compute can't buy a $10 domain name. Jeff Weinstein explains how Stripe’s new machine payments protocol will unleash autonomous agents to control real budgets. (0:00) What Is Agentic Commerce? (2:00) What Is the Machine Payments Protocol? (4:11) Why Can’t Smart Agents Buy Things Online? (7:14) How Can You Safely Give an Agent a Budget? (9:34) How Can Agents Provision Cloud Services? (12:22) Why Does Machine Payments Need Stablecoins? (14:15) Why Did Stripe Co-Found the Tempo Blockchain? (16:52) Who Are the Early Adopters of Agent Payments? (18:38) Why Are Agents Now Stripe’s Primary Customer? (20:00) How Did Stripe Atlas Reach 100,000 Startups? (23:09) Why Are AI Startups Growing 50% Faster Now? (24:59) Who Is Smarter: Patrick or John Collison?
28:05

Trillions in AI compute can't buy a $10 domain name. Jeff Weinstein explains how Stripe’s new machine payments protocol will unleash autonomous agents to control real budgets. (0:00) What Is Agentic Commerce? (2:00) What Is the Machine Payments Protocol? (4:11) Why Can’t Smart Agents Buy Things Online? (7:14) How Can You Safely Give an Agent a Budget? (9:34) How Can Agents Provision Cloud Services? (12:22) Why Does Machine Payments Need Stablecoins? (14:15) Why Did Stripe Co-Found the Tempo Blockchain? (16:52) Who Are the Early Adopters of Agent Payments? (18:38) Why Are Agents Now Stripe’s Primary Customer? (20:00) How Did Stripe Atlas Reach 100,000 Startups? (23:09) Why Are AI Startups Growing 50% Faster Now? (24:59) Who Is Smarter: Patrick or John Collison?

Rex Salisbury

21,091 次观看 • 2 个月前

It has been a long time since I made a video. I am sharing a deep dive into 2fac, a new 2FA app I built to replace Authy. What makes this project special is its massive scope, running natively across Android, iOS, watchOS, desktop, CLI, browser extensions, and the web. Building this many features across so many platforms was only possible through agentic coding. Huge thanks to Copilot, Claude, OpenCode, and Pi for completely changing how I write software. Here is what is covered in the video. In the pre-AI world, so many features, taking it to such a polished state (ui, design, relialibility of how it works, and quality of code too, you can take a look for yourelf) single handedly, that too working on spare time on the side from a day job, was simply not possible for non 10x, mid engineers like me 00:00:00 Project Overview & Motivation 00:03:31 Android App Demo 00:04:19 iOS & watchOS App Demo 00:05:32 Desktop App Demo 00:06:05 System Tray Integration 00:07:05 CLI Demo 00:08:44 Browser Extension Demo 00:10:00 Web App (PWA) Demo 00:11:40 Secure Unlock & Passkeys 00:16:30 GitHub Repo & Release Plans 00:17:30 CI/CD Pipeline Setup 00:19:00 AI Agentic Coding Workflow 00:23:50 Production Usage Warning 00:26:00 Custom AI Agent Skills 00:28:30 Automated Planning & Roadmaps 00:31:14 UI Testing with Maestro 00:35:12 Creating Custom AI Agents 00:38:34 Codebase Test Coverage 00:41:30 AI-Driven TDD
43:11

It has been a long time since I made a video. I am sharing a deep dive into 2fac, a new 2FA app I built to replace Authy. What makes this project special is its massive scope, running natively across Android, iOS, watchOS, desktop, CLI, browser extensions, and the web. Building this many features across so many platforms was only possible through agentic coding. Huge thanks to Copilot, Claude, OpenCode, and Pi for completely changing how I write software. Here is what is covered in the video. In the pre-AI world, so many features, taking it to such a polished state (ui, design, relialibility of how it works, and quality of code too, you can take a look for yourelf) single handedly, that too working on spare time on the side from a day job, was simply not possible for non 10x, mid engineers like me 00:00:00 Project Overview & Motivation 00:03:31 Android App Demo 00:04:19 iOS & watchOS App Demo 00:05:32 Desktop App Demo 00:06:05 System Tray Integration 00:07:05 CLI Demo 00:08:44 Browser Extension Demo 00:10:00 Web App (PWA) Demo 00:11:40 Secure Unlock & Passkeys 00:16:30 GitHub Repo & Release Plans 00:17:30 CI/CD Pipeline Setup 00:19:00 AI Agentic Coding Workflow 00:23:50 Production Usage Warning 00:26:00 Custom AI Agent Skills 00:28:30 Automated Planning & Roadmaps 00:31:14 UI Testing with Maestro 00:35:12 Creating Custom AI Agents 00:38:34 Codebase Test Coverage 00:41:30 AI-Driven TDD

Arnav Gupta

109,905 次观看 • 4 个月前

AI has changed software engineering more in the last 3 years than it has changed in the previous 30. What’s needed is not a debate about whether it’s going away—instead it’s a serious discussion about its future: What are the new primitives, techniques, and best practices for software engineering in the age of AI. That’s why I brought Scott Wu (Scott Wu) on AI & I. He’s the founder of Cognition, the company behind the world’s first autonomous AI coding agent, Devin. Cognition got to $73M ARR in less than 2 years—and they just acquired Windsurf to accelerate their growth. I had Scott on the show to talk about where the programming goes from here. We get into: - What the new tools and workflows are for AI engineers. In the near term, Scott sees software engineering defined by a spectrum of tools. At one end are AI features that speed up coding, like tab complete; at the other are agentic systems, like Devin, that can take on tasks independently. Until engineers can operate entirely at the higher layer of abstraction, he argues, both are essential. - Why Scott thinks AGI is already here. By the benchmarks of a decade ago—passing the Turing test, solving hard math problems, and operating agentically—AGI is already here. The line keeps moving, he argues, because humans constantly redefine work around what machines can’t yet do. - Why developers will turn into product architects. Scott sees the long-term future of software engineering as a steady climb up the ladder of abstraction. Just as programming went from assembly to languages like Python and JavaScript, he thinks the future is humans focusing on the product, while AI agents execute. - How Devin stacks up against Anthropic’s Claude Code. Scott credits Claude Code’s success to great product design and the models becoming capable enough to support autonomous workflows. But according to him, the CLI itself isn’t the breakthrough, it’s how a tool fits into a developer’s workflow. Claude Code’s paradigm is that the AI is you, taking the wheel of your computer, he says, while Devin is like the engineer sitting beside you: it runs in its own cloud environment, manages the repo, and improves over time at testing and refining code. This episode of Every 📧’s AI & I is a must-watch for anyone interested in the brass tacks of how AI changes the future of programming. Watch below! Timestamps: Introduction: 00:02:02 Why Scott thinks AGI is here: 00:02:32 Scott’s personal journey as a founder: 00:09:27 Why the fundamentals of computer science still matter: 00:16:55 How the future of programming will evolve: 00:22:30 A new workflow for the AI-first software engineer: 00:26:50 How Devin stacks up against Claude Code: 00:29:33 Reinforcement learning to build better coding agents: 00:40:05 What excites Scott about AI beyond Cognition: 00:50:05
53:21

AI has changed software engineering more in the last 3 years than it has changed in the previous 30. What’s needed is not a debate about whether it’s going away—instead it’s a serious discussion about its future: What are the new primitives, techniques, and best practices for software engineering in the age of AI. That’s why I brought Scott Wu (Scott Wu) on AI & I. He’s the founder of Cognition, the company behind the world’s first autonomous AI coding agent, Devin. Cognition got to $73M ARR in less than 2 years—and they just acquired Windsurf to accelerate their growth. I had Scott on the show to talk about where the programming goes from here. We get into: - What the new tools and workflows are for AI engineers. In the near term, Scott sees software engineering defined by a spectrum of tools. At one end are AI features that speed up coding, like tab complete; at the other are agentic systems, like Devin, that can take on tasks independently. Until engineers can operate entirely at the higher layer of abstraction, he argues, both are essential. - Why Scott thinks AGI is already here. By the benchmarks of a decade ago—passing the Turing test, solving hard math problems, and operating agentically—AGI is already here. The line keeps moving, he argues, because humans constantly redefine work around what machines can’t yet do. - Why developers will turn into product architects. Scott sees the long-term future of software engineering as a steady climb up the ladder of abstraction. Just as programming went from assembly to languages like Python and JavaScript, he thinks the future is humans focusing on the product, while AI agents execute. - How Devin stacks up against Anthropic’s Claude Code. Scott credits Claude Code’s success to great product design and the models becoming capable enough to support autonomous workflows. But according to him, the CLI itself isn’t the breakthrough, it’s how a tool fits into a developer’s workflow. Claude Code’s paradigm is that the AI is you, taking the wheel of your computer, he says, while Devin is like the engineer sitting beside you: it runs in its own cloud environment, manages the repo, and improves over time at testing and refining code. This episode of Every 📧’s AI & I is a must-watch for anyone interested in the brass tacks of how AI changes the future of programming. Watch below! Timestamps: Introduction: 00:02:02 Why Scott thinks AGI is here: 00:02:32 Scott’s personal journey as a founder: 00:09:27 Why the fundamentals of computer science still matter: 00:16:55 How the future of programming will evolve: 00:22:30 A new workflow for the AI-first software engineer: 00:26:50 How Devin stacks up against Claude Code: 00:29:33 Reinforcement learning to build better coding agents: 00:40:05 What excites Scott about AI beyond Cognition: 00:50:05

Dan Shipper 📧

35,342 次观看 • 10 个月前

An agent-first world is around the corner — where more actions will likely be taken by AI than by humans when building software. Zeno Rocha, cofounder of Resend, and Yoko Li say this reality is shaping how developers build, and changing what user experience really means. Great developer experience alone won’t cut it. We’ll also need to build for agent experience (or AX) — rethinking flows, permissioning, and how we define (and audit) who’s doing what in our systems. Zeno and Yoko share why they believe email is the perfect proving ground for AI agents, how to design APIs for agents (not just humans), and what MCP means for the future of agent-native apps.
0:32

An agent-first world is around the corner — where more actions will likely be taken by AI than by humans when building software. Zeno Rocha, cofounder of Resend, and Yoko Li say this reality is shaping how developers build, and changing what user experience really means. Great developer experience alone won’t cut it. We’ll also need to build for agent experience (or AX) — rethinking flows, permissioning, and how we define (and audit) who’s doing what in our systems. Zeno and Yoko share why they believe email is the perfect proving ground for AI agents, how to design APIs for agents (not just humans), and what MCP means for the future of agent-native apps.

a16z

32,663 次观看 • 1 年前