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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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28,759 views • 2 months ago •via X (Twitter)

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We at GitButler just shipped what I want to say is a killer, version control integrated, Claude Code UI. I did love CC in the terminal, but launching an agent scoped to a branch is really amazing. Check it out. Also, unrelated, I love Screen Studio, it's dope.
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We at GitButler just shipped what I want to say is a killer, version control integrated, Claude Code UI. I did love CC in the terminal, but launching an agent scoped to a branch is really amazing. Check it out. Also, unrelated, I love Screen Studio, it's dope.

Scott Chacon

21,838 views • 9 months ago

We're getting close to releasing a brand new approach to branching in Git. Check out Scott Chacon's demo, get excited about virtual branches, and read all about how we built it on our shiny new blog:
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We're getting close to releasing a brand new approach to branching in Git. Check out Scott Chacon's demo, get excited about virtual branches, and read all about how we built it on our shiny new blog:

GitButler

13,052 views • 2 years ago

Jesse Genet on Agentic Parenting Jesse Genet joins a16z's Sarah Wang and Katherine Boyle to discuss her journey from founder to parent, how she's using agents in her household, and how AI could transform parenting for the better. 00:00 YC founder turned homeschool mom 03:00 Discovering Claude Code and agentic building 06:00 Building while homeschooling 4 kids under 5 11:00 How AI generates personalized lesson plans and logs progress 18:00 Jesse's 11-agents 27:05 Agent tech stack deep dive 33:56 How agents improve daily life 40:04 Letting kids interact with AI: values, risks, and the future of parenting Jesse Genet Katherine Boyle Sarah Wang
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a16z

1,785,946 views • 1 month ago

Today we announced a $150M seed round in Inferact, a new startup led by the maintainers of the vLLM project. Inferact will support the vLLM open source project through dedicated financial and developer resources and build what they see as the next generation commercial inference engine. Cofounders Simon Mo and Woosuk Kwon joined a16z GP Matt Bornstein for a conversation on how vLLM came to be, what they’ve learned from building it, and what they’re now doing at Inferact. They cover how vLLM began as a side project, why open source is essential to the world’s AI infrastructure, why inference is getting harder, and more. 00:00 Introduction 11:41 Community and collaboration in vLLM 19:19 Understanding inference engines 24:27 Cluster scale and GPU deployment 31:19 Belief in open source AI 35:45 Founding Inferact 40:00 The future of Inference at scale Simon Mo Woosuk Kwon Matt Bornstein
44:14

Today we announced a $150M seed round in Inferact, a new startup led by the maintainers of the vLLM project. Inferact will support the vLLM open source project through dedicated financial and developer resources and build what they see as the next generation commercial inference engine. Cofounders Simon Mo and Woosuk Kwon joined a16z GP Matt Bornstein for a conversation on how vLLM came to be, what they’ve learned from building it, and what they’re now doing at Inferact. They cover how vLLM began as a side project, why open source is essential to the world’s AI infrastructure, why inference is getting harder, and more. 00:00 Introduction 11:41 Community and collaboration in vLLM 19:19 Understanding inference engines 24:27 Cluster scale and GPU deployment 31:19 Belief in open source AI 35:45 Founding Inferact 40:00 The future of Inference at scale Simon Mo Woosuk Kwon Matt Bornstein

a16z

87,993 views • 4 months ago

What exactly is an AI agent — a looped LLM? A planning system? A misused buzzword? In the latest episode of AI + a16z, Guido Appenzeller, Yoko, and Matt Bornstein debate how to define agentic behavior, where the architecture diverges from traditional software, and why most agents today are closer to “weekend demos” than AGI. They explore: — Why “agent” is a spectrum, not a category — How pricing, UX, and data access complicate the picture — And what it’ll take to move from weekend demos to real agent products Listen now:
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What exactly is an AI agent — a looped LLM? A planning system? A misused buzzword? In the latest episode of AI + a16z, Guido Appenzeller, Yoko, and Matt Bornstein debate how to define agentic behavior, where the architecture diverges from traditional software, and why most agents today are closer to “weekend demos” than AGI. They explore: — Why “agent” is a spectrum, not a category — How pricing, UX, and data access complicate the picture — And what it’ll take to move from weekend demos to real agent products Listen now:

a16z

17,977 views • 1 year ago

Scott Jennings has built a reputation for speaking truth to power on CNN, but what stood out to me in this conversation was his honesty, his perspective, and his heart. We filmed this episode over a month ago in Washington DC, and it was the perfect backdrop for a raw and real discussion about politics, faith, and family. We talked about what it takes to sit in the lion’s den night after night, debating politics in front of a national audience, and why authenticity matters more now than ever. Scott opened up about his career path from Kentucky to the Bush White House, to campaign war rooms, and now to CNN, where his voice has become one of the most recognizable conservative perspectives in America. He shared stories about Donald Trump, Mitch McConnell, and the lessons he has learned from decades inside politics and media. We also talked about faith, family, and why staying grounded matters when the world is coming at you full speed. Scott Jennings is sharp, candid, and passionate about America’s future, but what I walked away with was a reminder of his integrity and his courage to stand firm in the face of constant pressure. Chapters: 00:03:08:12 – Thoughts on Donald Trump's presidency so far 00:06:32:00 – How has President Trump improved since 2016 00:08:35:01 – How the incident in Butler PA changed everything 00:13:11:23 – Scott Jennings on CNN 00:18:10:19 – How the debates work on CNN 00:20:52:15 – How does Scott Jennings keep his cool while debating 00:24:25:11 – Any strained relationships on set 00:27:18:25 – Scott Jennings' best and worst moments on air 00:31:06:08 – How does Scott Jennings deal with being outnumbered 00:41:12:23 – Scott's career in politics 00:44:39:16 – Mitch McConnell 00:52:11:11 – Political run in Kentucky for Scott 00:54:37:24 – Family 01:00:11:02 – Closing thoughts 01:03:29:11 – The Yellow Ribbon
1:05:46

Scott Jennings has built a reputation for speaking truth to power on CNN, but what stood out to me in this conversation was his honesty, his perspective, and his heart. We filmed this episode over a month ago in Washington DC, and it was the perfect backdrop for a raw and real discussion about politics, faith, and family. We talked about what it takes to sit in the lion’s den night after night, debating politics in front of a national audience, and why authenticity matters more now than ever. Scott opened up about his career path from Kentucky to the Bush White House, to campaign war rooms, and now to CNN, where his voice has become one of the most recognizable conservative perspectives in America. He shared stories about Donald Trump, Mitch McConnell, and the lessons he has learned from decades inside politics and media. We also talked about faith, family, and why staying grounded matters when the world is coming at you full speed. Scott Jennings is sharp, candid, and passionate about America’s future, but what I walked away with was a reminder of his integrity and his courage to stand firm in the face of constant pressure. Chapters: 00:03:08:12 – Thoughts on Donald Trump's presidency so far 00:06:32:00 – How has President Trump improved since 2016 00:08:35:01 – How the incident in Butler PA changed everything 00:13:11:23 – Scott Jennings on CNN 00:18:10:19 – How the debates work on CNN 00:20:52:15 – How does Scott Jennings keep his cool while debating 00:24:25:11 – Any strained relationships on set 00:27:18:25 – Scott Jennings' best and worst moments on air 00:31:06:08 – How does Scott Jennings deal with being outnumbered 00:41:12:23 – Scott's career in politics 00:44:39:16 – Mitch McConnell 00:52:11:11 – Political run in Kentucky for Scott 00:54:37:24 – Family 01:00:11:02 – Closing thoughts 01:03:29:11 – The Yellow Ribbon

Sage Steele

111,429 views • 8 months ago

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a16z

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"We are clearly entering a world where a product-minded engineer is now empowered to produce software without writing a line of code for it." In this conversation, Temporal CEO Samar Abbas joins a16z GPs Sarah Wang and Raghu Raghuram to cover: - Why agents are going from short-lived and interactive to long-running and async - Why the engineer of the future manages 15 parallel AI tasks at once - How OpenAI Codex runs millions of concurrent agent executions on Temporal - How real-time context engineering is exploding on Temporal - Why SaaS isn't dead, and value is migrating to APIs 00:00 Introduction 04:03 Temporal's origin story 11:14 Why agents raise the stakes 16:00 Specialized agents need durable RPC 25:20 Deep research agents 30:58 Execution histories as a superpower 39:04 Minimal viable long-running agent architecture 45:07 Context engineering at scale 52:40 Where value accrues: The "five-layer cake" and breakout AI applications Samar Abbas Sarah Wang Raghu Raghuram

a16z

45,496 views • 3 months ago

We’re co-leading the $475M seed round for Unconventional AI, a research lab tackling the moonshot of highly efficient AI-first chips. CEO Naveen Rao has sold two companies previously, and we’re excited to be partnering with him in his next endeavor. He joined a16z’s Matt Bornstein at NeurIPS for a conversation on starting a new chip company, what better chips would mean for AGI, why Naveen is so passionate about this mission, and more. 00:00 Intro 00:56 Exploring hardware for running AI workloads 02:02 Why Naveen built lots of software in a "hardware company" 03:22 Why start a new chip company? 05:13 How computing systems went digital 09:26 Why intelligence is a good fit for analog computer systems 12:30 What tradeoffs Naveen faced in pursuing his own path 15:23 The Data modalities Unconventional chips will be best for 16:54 Does this get us closer to AGI? 21:00 Where Naveen gets his excitement and motivation 22:37 What makes Naveen confident that Unconventional will work 24:43 Unconventional's hiring priorities 26:27 Career advice for young people 28:19 What Naveen has done best in his companies Naveen Rao Matt Bornstein Unconventional AI
30:08

We’re co-leading the $475M seed round for Unconventional AI, a research lab tackling the moonshot of highly efficient AI-first chips. CEO Naveen Rao has sold two companies previously, and we’re excited to be partnering with him in his next endeavor. He joined a16z’s Matt Bornstein at NeurIPS for a conversation on starting a new chip company, what better chips would mean for AGI, why Naveen is so passionate about this mission, and more. 00:00 Intro 00:56 Exploring hardware for running AI workloads 02:02 Why Naveen built lots of software in a "hardware company" 03:22 Why start a new chip company? 05:13 How computing systems went digital 09:26 Why intelligence is a good fit for analog computer systems 12:30 What tradeoffs Naveen faced in pursuing his own path 15:23 The Data modalities Unconventional chips will be best for 16:54 Does this get us closer to AGI? 21:00 Where Naveen gets his excitement and motivation 22:37 What makes Naveen confident that Unconventional will work 24:43 Unconventional's hiring priorities 26:27 Career advice for young people 28:19 What Naveen has done best in his companies Naveen Rao Matt Bornstein Unconventional AI

a16z

1,635,781 views • 6 months ago

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46:57

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Matt Turck

35,138 views • 3 months ago

We’ve built a new CLI for managing conversational agents as code. It brings version control, programmability, and deeper integration into your existing workflows.
3:11

We’ve built a new CLI for managing conversational agents as code. It brings version control, programmability, and deeper integration into your existing workflows.

ElevenLabs

29,502 views • 10 months ago

AI coding isn’t just a hype cycle — it could represent trillions worth of developer productivity. From Copilot to Cursor, AI is already changing how millions code; not someday, but now. Listen to the full conversation on how the future of coding is being rewritten — and what comes next with Yoko, Guido Appenzeller, and Matt Bornstein:
0:41

AI coding isn’t just a hype cycle — it could represent trillions worth of developer productivity. From Copilot to Cursor, AI is already changing how millions code; not someday, but now. Listen to the full conversation on how the future of coding is being rewritten — and what comes next with Yoko, Guido Appenzeller, and Matt Bornstein:

a16z

26,829 views • 1 year ago

Box CEO Aaron Levie on the AI Adoption Gap Aaron Levie joins Steven Sinofsky, Martin Casado, and Erik Torenberg to discuss how AI agents will revolutionize work, the growing pains of building software for the agent economy, what Wall Street gets wrong about AI, and more. 00:00 Intro 00:51 Building software for agents vs. humans 02:10 Can non-technical workers actually use AI agents? 14:31 CFO/CIO pushback: the real fear of agents doing integration 18:39 Treating agents like employees and why it breaks down 27:35 Diffusion gap: startups vs. enterprises 42:53 What Wall Street gets wrong Aaron Levie Steven Sinofsky martin_casado Erik Torenberg
58:28

Box CEO Aaron Levie on the AI Adoption Gap Aaron Levie joins Steven Sinofsky, Martin Casado, and Erik Torenberg to discuss how AI agents will revolutionize work, the growing pains of building software for the agent economy, what Wall Street gets wrong about AI, and more. 00:00 Intro 00:51 Building software for agents vs. humans 02:10 Can non-technical workers actually use AI agents? 14:31 CFO/CIO pushback: the real fear of agents doing integration 18:39 Treating agents like employees and why it breaks down 27:35 Diffusion gap: startups vs. enterprises 42:53 What Wall Street gets wrong Aaron Levie Steven Sinofsky martin_casado Erik Torenberg

a16z

276,989 views • 2 months ago

Developer talent is global. Access to AI tools should be, too. 🌍 💻 Stephen, a React developer working in Rwanda, shares how he uses GitHub Copilot to navigate complex code, and why AI is a tool for empowerment (and not replacement). Learn more about the partnership between GitHub and Andela to bring structured AI training to more than 3,000 developers across the globe. 💡
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Developer talent is global. Access to AI tools should be, too. 🌍 💻 Stephen, a React developer working in Rwanda, shares how he uses GitHub Copilot to navigate complex code, and why AI is a tool for empowerment (and not replacement). Learn more about the partnership between GitHub and Andela to bring structured AI training to more than 3,000 developers across the globe. 💡

GitHub

25,493 views • 3 months ago

AI Winners, Token Economics, and Venture Strategy w/ David Clark and David George VenCap CIO David Clark joins a16z GP David George to discuss the AI supercycle and how it's changing the technology industry, including what bigger exits mean for venture capital, why we're not in a bubble, why we're still early in enterprise AI adoption, and more. 00:00 Intro 00:38 The scale shift: Anthropic & OpenAI adding more revenue than hyperscalers 04:20 Skeuomorphic vs native AI applications in the enterprise 06:24 How the best AI companies run themselves differently 08:14 Top 1% exits 10x'd in 24 months 11:17 The half-life problem: Why 40% of AI leaders drop off every year 13:11 Token economics, cost pressure, and who captures value 17:00 Loss ratios, risk, and how to think about early stage 22:51 Are we in an AI bubble? 29:50 The future of venture capital in an AI world David Clark David George
33:09

AI Winners, Token Economics, and Venture Strategy w/ David Clark and David George VenCap CIO David Clark joins a16z GP David George to discuss the AI supercycle and how it's changing the technology industry, including what bigger exits mean for venture capital, why we're not in a bubble, why we're still early in enterprise AI adoption, and more. 00:00 Intro 00:38 The scale shift: Anthropic & OpenAI adding more revenue than hyperscalers 04:20 Skeuomorphic vs native AI applications in the enterprise 06:24 How the best AI companies run themselves differently 08:14 Top 1% exits 10x'd in 24 months 11:17 The half-life problem: Why 40% of AI leaders drop off every year 13:11 Token economics, cost pressure, and who captures value 17:00 Loss ratios, risk, and how to think about early stage 22:51 Are we in an AI bubble? 29:50 The future of venture capital in an AI world David Clark David George

a16z

42,120 views • 9 days ago

Retire 15-20 years sooner with Bitcoin (compared to stocks) Time Stamps: 00:00 Intro 00:20 What is retirement? 00:49 Why do people retire? 06:05 Saving vs Investing for retirement 10:35 What is an asset? 12:28 How to save for retirement 14:12 Why Bitcoin is the best way to save 16:06 What is a rate of return? 17:23 What is compounding? 19:45 How to retire faster 22:17 You’ll retire sooner with Bitcoin 28:01 Why you need an emergency fund 29:48 Life insurance 31:07 Invest this to retire in 10 years 32:33 Summary
34:04

Retire 15-20 years sooner with Bitcoin (compared to stocks) Time Stamps: 00:00 Intro 00:20 What is retirement? 00:49 Why do people retire? 06:05 Saving vs Investing for retirement 10:35 What is an asset? 12:28 How to save for retirement 14:12 Why Bitcoin is the best way to save 16:06 What is a rate of return? 17:23 What is compounding? 19:45 How to retire faster 22:17 You’ll retire sooner with Bitcoin 28:01 Why you need an emergency fund 29:48 Life insurance 31:07 Invest this to retire in 10 years 32:33 Summary

Rajat Soni, CFA

28,718 views • 1 year ago

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

109,380 views • 2 months ago

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 📧

34,753 views • 8 months ago

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 views • 1 year ago

Ben Horowitz and Alex Rampell on AI Infrastructure, Crypto, and the Future of Venture a16z's Ben Horowitz and Alex Rampell sit down to discuss why the fundamental rules of building software companies have changed, how AI is creating massive demand for crypto infrastructure, why the next 15 years will make everyone's lives dramatically better, and more. 00:00 Intro 01:39 The new laws of physics for tech companies 06:37 Why not every legacy SaaS company is dead 10:30 America's AI infrastructure bottleneck 14:27 AI + crypto: Why they're more connected than you think 19:54 The future of VC 24:06 AI and the history of technological change benahorowitz.eth Alex Rampell
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Ben Horowitz and Alex Rampell on AI Infrastructure, Crypto, and the Future of Venture a16z's Ben Horowitz and Alex Rampell sit down to discuss why the fundamental rules of building software companies have changed, how AI is creating massive demand for crypto infrastructure, why the next 15 years will make everyone's lives dramatically better, and more. 00:00 Intro 01:39 The new laws of physics for tech companies 06:37 Why not every legacy SaaS company is dead 10:30 America's AI infrastructure bottleneck 14:27 AI + crypto: Why they're more connected than you think 19:54 The future of VC 24:06 AI and the history of technological change benahorowitz.eth Alex Rampell

a16z

24,904 views • 1 month ago