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a16z Podcast Episode Notes: “Anyone Can Code Now” - Netlify CEO Talks AI Agents
Podcast Overview The a16z Podcast, produced by Andreessen Horowitz, discusses tech and culture trends, news, and the future of technology, particularly how software is transforming industries.
Episode Summary In this episode, Netlify CEO Matt Biilmann discusses the dramatic changes in software development, driven by AI tools and the growing participation of non-developers in coding through accessible platforms.
Key Themes
- Seismic Shift in Development: Netlify experienced a surge in daily signups from 3,000 to 16,000, with 96% of new users being non-developers using AI tools like ChatGPT to create web applications.
- Agent Experience (AX): Biilmann introduces the concept of agent experience, emphasizing that AI agents are becoming integral users of software products, changing the landscape of software development.
- Expanded Audience: The addressable market for developer tools has expanded from 17 million JavaScript developers to potentially 3 billion spreadsheet users, signifying a drastic change in who can now create software.
Discussion Points
- Transformation of Development Landscape
- User Demographics: There’s a notable shift in user demographics, with more marketers, designers, and product managers engaging in coding without prior programming experience.
- Coding through AI: People are accessing coding capabilities via AI-driven tools, leading to innovative creations such as WebGL games.
- Agent Experience (AX)
- Definition and Importance: AX represents the experience of AI agents using products, which is becoming vital in product development.
- Three Types of AX:
- Netlify's AX: How agents interact with Netlify's tools.
- Customer AX: How customers can create effective experiences for their users.
- Industry AX: The standards and protocols needed for effective agent interactions across the industry.
- Economic Shifts
- Software Economics: The transition from perpetual licenses and subscriptions to usage-based pricing models is being influenced by AI.
- Outcome-based Models: There's a growing focus on aligning pricing with the value delivered rather than purely on usage metrics.
- New Development Paradigms
- Redefining Developers: The role of a developer is evolving, with critical thinking and user-oriented design becoming more important than just coding skills.
- AI Collaboration: Biilmann emphasizes that collaboration with AI agents will enhance developers’ productivity by allowing them to focus on higher-level tasks.
- Future of Software Development
- Accessibility: The barriers to software development are lowering, making it more accessible for everyday users to create and deploy applications.
- Creative Explosion: There’s an anticipated surge in creativity and software production, leading to a diverse range of applications and platforms.
Key Takeaways
- Anyone Can Code: The tools of today empower non-developers to engage in coding, transforming the landscape of software creation.
- Importance of Curiosity: Success in this new environment requires a blend of curiosity and a willingness to experiment with AI tools and coding environments.
- Dynamic Future: The future holds a promise of more collaborative, creative, and diverse software development experiences.
Resources
- Follow Matt Biilmann on X: [@biilmann](https://x.com/biilmann)
- Follow Martin Casado on X: [@martin_casado](https://x.com/martin_casado)
- Follow Erik Torenberg on X: [@eriktorenberg](https://x.com/eriktorenberg)
- Find a16z on X: [@a16z](https://x.com/a16z)
- Subscribe to the a16z Podcast on [Spotify](https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX) and [Apple Podcasts](https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711)
Closing Thoughts The episode highlights an exciting shift in the software development landscape, driven by AI technologies that empower a broader audience. As the lines between developers and non-developers blur, the future seems vibrant with innovation and creativity.
--- These notes encapsulate the core themes and discussions from the podcast episode, providing a clear overview and insightful reflections on the evolving role of AI in software development.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Explosion of Users in Coding
0:45 to 2:30
Discussion on the significant increase in users of coding platforms and the shift in audience demographics.
“And suddenly computers can write code and addressable audience for a tool like ours.”
The Agent Experience Concept
2:30 to 5:00
Exploring the concept of agent experience in software development and its implications.
“If anyone can build software, what actually makes you a developer anymore?”
Netlify's Approach to Agent Experience
5:00 to 7:00
Insights into how Netlify is adapting to accommodate AI-driven agents and enhance user experience.
“It's also for a person asking an agent to do stuff, right?”
Transforming the Developer Landscape
7:00 to 10:00
Discussion on how AI tools are transforming the landscape for developers and non-developers.
“So I think that has meant that in the developer tool space, this idea of agent experience is like extra important right now.”
Growth Metrics and User Engagement
10:00 to 12:00
Analysis of user signups and engagement metrics, highlighting the shift in user personas.
“and figure out how to make their sites accessible for agents or like deciding if a visitor is an agent or a human and so on.”
The Future of Website Creation
12:00 to 14:00
Exploration of the future of website creation with AI tools and the implications for various user types.
“And ironically, you cannot see that change in our signup numbers at all, even if that was like our highest partner, right?”
AI Shifts in Development
14:00 to 15:28
Exploring how AI tools are transforming developer workflows and debugging processes.
“Like even just talking to our customers, right?”
Evolving Definition of a Developer
15:28 to 17:44
Discussing how the skills required for developers are changing in the AI landscape.
“And now we just launched this thing called agent runners where you can like spin up like autonomous runs with cloud code or codecs and so on, right?”
Learning Programming through AI
17:44 to 21:08
Examining how AI is both a tool and a teacher for new programmers.
“I'm going to give a counterpoint to that.”
Future of Browsers and AI Integration
21:08 to 23:29
Analyzing the anticipated evolution of browsers with AI capabilities.
“It's like the AI not only does, but also teaches you how to do it.”
Show all 26 chapters
Economic Shifts in AI Usage
23:29 to 27:41
Discussing the changing economic models in AI usage and their implications.
“Like, and there will, I think there will always be a large set of human in the loop interactions.”
Practical Applications of AI Agents
27:41 to 28:00
Identifying current practical uses of AI agents in operations and development.
“We are using some internally, but not enough, I would say.”
The Productivity of Coding Agents
28:00 to 29:00
Explore how coding agents enhance productivity and feature velocity.
“happening in next years so we can keep doing the right framework adapters and so on.”
Automating vs. Coding with Agents
29:00 to 30:10
Discuss the balance between automation and traditional coding processes.
“like we're now building a lot of the product with those agents right like and have you found that to actually increased feature velocity?”
The Evolution of Developer Roles
30:10 to 31:20
Examine how coding agents are reshaping the roles of developers.
“it just reminded me of something so you know max max bichemin the airflow you know superset guy so So like hardcore open source developer has a company called Preset.”
Learning Development Through AI
31:20 to 32:30
Learn about the personal growth journey of becoming a developer using AI tools.
“like you are doing a lot of JavaScript, a lot of front end, a lot of web.”
Iterative Development with Agents
32:30 to 34:10
Understand the iterative process of development using coding agents.
“But I sort of started saying like, I want to make it my mission to become an equally good developer without writing any code myself.”
The Future of Web Development
34:10 to 36:40
Discuss the impact of AI on the future of web development and creativity.
“stretch and write the code, I would have written it faster and probably better.”
Accessibility of Development Skills
36:40 to 38:00
Explore how making coding more accessible can unleash more creativity.
“like there's so many of these theories, I think that just underestimates like humans and like being creative.”
Front-End Development's Evolution
38:00 to 39:40
Trace the evolution of front-end development and its current status.
“Like, and to me, when that constraint goes away, we're just going to have a lot, like unimaginable amount of more software.”
The Future of Software Development
39:40 to 41:20
Forecast the shift in software development skills and roles in the future.
“So I started working on it in like 2013, right?”
The Future of Software Development
42:00 to 44:36
Explore the rapid evolution of software development driven by AI agents.
“that are only doing that, but it'll be the minority, I think.”
The Shifting Consumption Layer of the Web
44:36 to 47:12
Discuss how AI will transform user interactions with web applications.
“Like because everything is so code centric right now, like things like GitHub and pull requests and so on, right?”
Redefining the Role of Developers in an AI World
47:12 to 50:04
Understand the evolving relationship between developers and AI tools.
“and like seeing what's happening and like that whole concept of being able to build something and put it in a URL and everybody can use it and interact with it and can be like collaborative and so on.”
Learning to Code with AI: A New Approach
50:04 to 55:46
Gain insights on how non-developers can begin their coding journey using AI tools.
“this idea that we are like helping billions of people become developers and take part in this practice of building software and not that it's like everybody's just a consumer.”
The Importance of Effort in AI Development
56:02 to 57:06
Learn how effort and perseverance remain crucial in AI-assisted development.
“The best people still spend the most amount of time, right?”
Transcript
Automatic transcript. May contain errors.0:00In the past, before all of this AI, when people asked what to do to be a good developer, I said just have a really high tolerance for frustration. That's about right.
0:38Just like with writing, there's still professional writers, but like all of us also have to know how to write as part of our job. Two years ago, our addressable audience was essentially 17 million professional JavaScript developers. And suddenly computers can write code and addressable audience for a tool like ours. That's everybody that can use spreadsheets today, which is more like 3 billion people. A year ago, we were sitting at around 3 ,000 signups a day. Today, we're sitting at around 16 ,000 a day. We're starting to see those kind of patterns where is this an agent accessing or is it a human?
1:11There's also just way more people having fun building crazy stuff. People building like really cool WebGL games and so on that they could like never managed to build before. And browsers will evolve really dramatically from this. That originally concept of a user agent on the web is getting real. You see people like have history with their chat, TPT or cloud and they really have a preference. and they don't want to go to like the bank's AI and talk to that. They just want to interact in that way. The web as we know it is about to become unrecognizable, not because of new protocol or framework, because of who's building it.
1:49For the first time in history, the barrier between I have an idea and I shipped working software is collapsing. Netlify just watched their daily signups jump from 3 ,000 to 16 ,000. The twist? Most of these new users aren't developers. They're marketers, designers, product managers, people who six months ago couldn't write a line of code. Matt Billman saw this coming. He coined the term agent experience, the idea that AI agents are now a core user of every product you build. But here's where it gets interesting. While others are building tools that say, we'll be your developer, Matt's making a different bet.
2:24He believes we're not replacing developers, we're creating billions of new ones. This raises an uncomfortable question. If anyone can build software, what actually makes you a developer anymore? The answer might surprise you and has nothing to do with code. Today, Matt sits down with A16Z general partner, Martin Casado, to cover why CEOs are suddenly submitting pull requests again, why the dead web theory is backwards, and what happens when your son's AI friend needs to open a bank account.
2:57Matt, thanks for joining. It's good to see you. So this is Matt Billman, the CEO, founder of Netlify, also creator of the Jamstack. You know, very well known to be an architect of the web and someone that tracks the trends. And you were with us a couple months ago and we were discussing AX and what that means. And now, you know, like the space is moving so quickly. We're a few months on. And so the point of this is going to be to talk about what we've learned in the last couple of months. But maybe before that, maybe you can describe what AX is. Yeah. And then we'll just kind of get into like kind of what we're learning.
3:36Yeah, I wrote an article about, the first article about AX back in January, which is like, feels like 10 years ago in AI time now. As the term for agent experience. and sort of really thinking about the evolution from user experience as like the term that like really could set a product apart from other products, not just based on a checklist of features, but based on like the experience of like everything around it. And then our first decade at Netlify of really centering around developer experience that's typically been a way to set platforms aside from other platforms, right? Like by making like lower friction for developers to actually build on them and extend them and use them and so on.
4:28Towards this idea that we suddenly, all of us that build product have this new persona using the product that's an agent driven by AI. And that also sort of actually have an experience of the product, right? Like whatever that means, right? Like doesn't necessarily mean that there's like some soul behind it or something, right? But it obviously has some, like, it's like actually attempting to figure out how to do stuff with our product in an autonomous way, right? Like, so suddenly the documentation about our product, the onboarding experience of our product is no longer just for like a person.
5:05It's also for a person asking an agent to do stuff, right? And that was what I sort of described in this article on agent experience as something that suddenly for us at Netlify became like our product Northstar and that I've proposed at the time should be pretty important for anybody building products in the world today. So listen, you read Netlify, as we mentioned, which is one of the world's largest hosting sites. So have you seen more agents than humans showing up these websites? or I feel like there's a lot of stuff going down. There's like, there's that, but there's also like people are creating websites using agents.
5:44And so I just feel like there's, you know, just a lot to tease out here. I think, especially in the dev tool space, like I'll say that like the term AX have had like outsized adoption in the developer tool space. And I think that's because for developer tools, there's this like wild thing happening where if you take Netlify, right? Two years ago, our audience, our addressable audience was essentially 17 million professional JavaScript developers. And then there's some adjacent developers that might use it as well. But it's a deeply technical product based on writing code and shipping it. So the main audience is 17 million people.
6:26And suddenly, computers can write code. And that whole question of do you actually need to write code to build software, that's becoming not really. Like, and you start having an addressable audience for a tool like ours, that's more like everybody that can use spreadsheets today, which is more like 3 billion people, right? Like in the distance between 17 million and 3 billion is really, really big, right? But if you want to reach that large audience, you have to reach them through the agents they're using to write the code and to build the software, right? So I think that has meant that in the developer tool space, this idea of agent experience is like extra important right now.
7:11And there's like extra attention of it. That doesn't mean that it's limited to like developer tools. And I think we'll see it more and more in all products, right? Like as agents try to interact with anything. thing but it does mean that specifically in our space it's like become something that's like almost essential to it to actually like reaching your potential as a company so from the perspective of that Levi it seems like there's there's there's two things going on one of them is to what extent are agents making websites yeah right using like the bolts or the lovables or the replets or like whatever it is to like generate like the website you know and then And there's a second one is for a website that's already generated.
7:52To what extent is an agent visiting it, right? And so how do you think about, you know? Yeah, yeah, yeah. There's those two parts to it constantly, right? By the way, is AX both of those or is it? It's AX. At Netlify, we actually talk about three kinds of AX relevant to us, right? It's all AX, right? But there's like Netlify's AX, right? Like what is the agent experience of using Netlify? Netlify, sure. Right, right, right. That's like Netlify's AX. Like you're like the website or whatever, yeah. Totally, right? Like it's like our CLI can cloud code figure out how to use our CLI. That's like part of Netlify's AX, right?
8:28Then there's our customers' AX. The stuff that our customers build, how can we help them make that, like make a really great agent experience with that? Assuming they're using agents. Yeah, yeah. They're using cursor. But independently on that, right? Like if they're building like an e-commerce site. What do we need to help them with to make it easy? Like now Stripe has a new like payments option to buy directly through ChatTBT. I see. What does that mean for people building e-commerce sites and Netlify, right? Like what do they actually need to do different to make sure that ChatTBT can also buy their products on behalf of users, right?
9:09There's that whole line of talk, like stuff like, should we help people charge for crawling like Cloudflare does? and do people even want that and so on, right? Like that's all in our mind, like the customer AX, where like how do we help our customers do these things? And then the third side of it is kind of what we call industry AX. That's like all the protocols and like general standards we have to agree on as an industry to make all of these things simpler, right? And that's kind of how we think about it internally. So we touch all three of those. And I would say we've done the most work on Netlify's own AX right now.
9:48And that, again, kind of comes back to just like how massive that change in like the developer world is right now. But we are obviously also doing a lot of work on helping customers build MCP servers and figure out how to make their sites accessible for agents or like deciding if a visitor is an agent or a human and so on. Do you have any numbers that you can highlight on, like, whatever, three years ago, people were not using AI to build sites and now they are? Can you give any sense of the extent that shift is happening? Where we see it is just that shift in the mass of people that are suddenly coming in the front door.
10:32That's just the first obvious one where, like, a year ago, we were sitting at around 3 ,000 signups a day, which for a developer tool is like... That's a lot. That's a lot. That's a lot, yeah. Today, we're sitting at around 16 ,000 a day. Wow. Right? And do you have a sense of where they're coming from? Like, that's the wildest thing is that it's everywhere, right? Like, because like at first, we started having a whole bunch of these agents sort of directly integrating with first Bolt, DotMew being like the largest one, right? Like, but then a whole world of like same DotMew, Builder.io, Mimix, Rocket, CodeMate, Windsurf, like just like all of these different ones.
11:09but all of them together is kind of like a four percent of the of the signups so the rest just happens organically right like and we actually both that knew had like used our claim flow which is like become one really common technique for agent experience this idea that you can like let an agent use your product before the human knows the product exists and then when the human wants to get involved, they go and claim whatever the agent did and sort of open an account. And at first, like, Bolt.new, which is one of these, like, very consumer-oriented code agents, right, like was using that flow and sending anybody that wanted to really do something with their website over to us.
11:58And then a few months ago, we changed to a white-label agreement with them where they are now like fully vertically integrating Netlify and they're like white labeling us and selling it directly to their customers to give like a really integrated vertical experience. And ironically, you cannot see that change in our signup numbers at all, even if that was like our highest partner, right? Because like the general growth of the space of people building web... Are they using AI tools? Are they using like a cursor or a chat GPT? Or is it just like people are like decided to make websites? I mean, I don't know for sure, right?
12:40Like, because you can't always see what they build it with, right? Like, but I think it would be a weird coincidence that like just a lot more people are like, I really like HTML now, right? And I think it's more likely that you'll just see that the amount of people building web apps and websites are exploding because like the barrier to entry for doing it is like massively disappearing. Like you have people today that accidentally create a web app in React, right? Like you go into like chat TPT and you're like prompted the right thing and suddenly it like spins up a canvas and it builds you all this stuff and you download it and it's like, okay, now where do I put it, right?
13:19Like, and we're pretty much like the simplest place to put it, right? Like, and then we have made our tooling really great for all of these sources, right? Like, and we're seeing that and we can see in the personas that come in that suddenly they go from being like developers. It's obviously still a ton of developers. There's also a lot of personas that like, you know, are onboarding, like characterize themselves as like marketeers or designers or product managers. So I would expect if AI is driving this, exactly that would happen, which is you go like, Netlify has always been a very technical tool for developers.
13:56like if you're like a javascript developer you use like a hosting by yourself so i would guess like probably the clearest indication that ai is doing it is exactly this like the mix of like technical versus non-technical shifts totally and it really shifts i mean are there any rough numbers to that or is it just i don't like is it still vibes it's still vibes it's still say the vibes are very strong. Like even just talking to our customers, right? Like we can see this shift. We have other things that we can see things like for like our co-audience, we have this functionality called why did it fail?
14:37Where when a build, like when you open a pull request, we run a build and we push that to your site. When that fails, that's always sort of a point of like, okay, now I have to go and debug it and figure out like why, what happened? right like so we put a button in the ui that literally says why did it fail you click that button and we send like the logs and the code like to an llm and we give you a diagnosis that's awesome then first we put a button on saying copy this result to an llm right like because like if you want you're in that loop and you want the llm okay it failed go fix it right like and And immediately when we put that button in, we saw that like 25 % of everyone that clicked, why did it fail?
15:25Clicked copy to LLM. Wow. That's like a pretty big sign of like how much this is like shifting, right? And now we just launched this thing called agent runners where you can like spin up like autonomous runs with cloud code or codecs and so on, right? Like, so now how we have it like just fix it button. You know, it's remarkable to me, I will say. Here's a personal anecdote, which is I developed with Cursor in Evenings for hobby projects. I've been using Netlify for years. Yeah. Right? But I never remember all the commands. No, no. What's super remarkable to me is like the LLMs actually know it.
16:01So I'll be in Cursor and I'll want to be like, Oh, what are the Netlify commands still? Yeah. Whatever. Deploy this, add this, whatever. And it actually knows it. And so I would say even for the case of professional developers, they're using LLMs to debug. Because I mean, it's just like there's just so many frameworks and so many tools to know. And you should, right? Like, I mean, that's one of my big thesis that like the whole definition of a developer is really going to change, right? Like where what defined a developer at its core used to be being able to write code and understand programming languages and understand the syntax and like that layer sort of below the visible substrate of things, right?
16:49And suddenly that part of being a developer is getting way less important and potentially going to what's zero importance, right? Like, and then the other skill set of being a developer of like clarity of thought, of understanding what users actually need you to build, of systems thinking and system design. and so on, those elements are suddenly becoming like the main qualifier for like, are you actually a really strong developer? And that also changes the persona, right? Like there's a lot of personas that were like really, really great at like the puzzle level layer of like low level code and so on.
17:28But that might not be that strong in like the more humanistic layer of like taste and what to build and so on, right? And there's a lot of people that were sort of like cut off fundamentally from development that are very strong in those layers and that start entering the field. Interesting. I'm going to give a counterpoint to that. I don't know if this writer is not, but like try this on for size. I started programming in the 90s. Yeah. And to program, you sat down at a computer and you knew a programming language and you wrote the programming language and you had a program. Yeah. And so like you were just thinking about the logic of the program.
18:06Yeah. And then, you know, the 2000s, especially late 2000s rolls around in the web. And then like to be a programmer, it's no longer about writing code. It's like you have to know frameworks. And there's nothing fundamental about frameworks. Yeah. Like for me to understand Next or React or, you know, some weird CLI, there's nothing fundamental. No, no, no. So it really is just wasted knowledge. I'm like using space in my brain, you know, to remember some dumb design decision from like some random person, right? And so for me, it's actually a little bit different, which is the nice thing about AI is like all the framework stuff it knows.
18:48I don't have to waste my brain. And I can literally just think about the programming logic, which I think is actually what matters because you're actually articulating what the program can do. So it's kind of a similar thing to what you're saying, but I think maybe I'm even abstracting it more. Like, I actually think, I think code's a very effective way to articulate trade-offs and to articulate what you want something to do. It actually is, right? Like, English is ambiguous, like, you know. And so it's fine to write code. I would just say all the framework nonsense is the stuff that we shouldn't, like, we should, like, not worry about.
19:19And then, of course, to your point, there are things where you don't have to describe so low level as code that you can do a high level. And there's so many aspects that, like, we've both like been like hardcore like our brain has been changed by sitting with stuff like Commodore 64 and learning memory addresses and just taking for granted that like every little comment matters. I remember like a lab where you like poke into like independent memory like loading. It was like that level right? So we also forget how much of a barrier it is like just when you start right like that like that whole learning curve of like oh i mistyped one character and now nothing works right like right right right and yeah and i think we underestimate like how big of a difference it makes when all of that is sort of no longer a barrier right like where hey like even if you leave out like a character here and there like the logic still holds right like the logic is still sound right like so suddenly you just need to start practicing that ability to reason with logic and to understand like the system.
20:30And it's really fascinating, I think, to see some of these people, like I see sort of two journeys, right? Like I see people like us that are starting to learn how to work with AI and coming from like the world we come from. And then I see these people that come from like the completely opposite apart and start learning to build software without that journey that we went through. And it's so interesting to see that interplay they have with the AI then, right? Because that becomes the sort of constant iteration one that's just like, why does this do this? Yeah, it becomes basically an educational tool.
21:07No, no, no, that's exactly right. It's like the AI not only does, but also teaches you how to do it. So you learn the fundamentals that way. No, I absolutely have seen the same thing. Can I move the conversation a little bit? which is, so we've kind of been working kind of out towards the user. We've talked about like, you know, Netlify itself, you know, using AI and then how is a good target for AI. You know, as you go towards the user, we're actually seeing the browser itself seem to evolve, right? And there's like new browsers, AI level browsers. Are you starting to see impact from that or is that still kind of on the come?
21:48it's a good question i think it's still more on to come than like something that's like very real right now you see it in like the access patterns right like where you suddenly see like all of these sites being accessed by all kinds of different agents in in in all kinds of different ways that are different than human access patterns right like and that comes from browsers and from tools like Cloud Code and so on, right? Like one thing that BondJS just came up with and everybody like us included are copying now is this idea of like for the documentation side, use content negotiation. So when Cloud Code asks for a page instead of sending the HTML, respond directly with the markdown.
22:34So it uses less tokens to like interpret it, right? Oh, I see. I see. I see. That makes a lot of sense, right? So we're starting to see those kind of patterns where we actually start like in practice building like content negotiation where like, is this an agent accessing or is it a human accessing and maybe we should do different things, right? And I think those are sort of early signs of what will happen when even the browser starts being like that and starts like having AI inside that sometimes it's the human viewing and sometimes it's the AI in the browser. So based on this, is your mental model that most AI is working with a human or is your mental model that these things become more divorced over time?
23:18Because the browser question to me assumes there's a human behind the browser in tandem with an AI where like the purely agentic one, maybe there isn't a human so tightly in the loop. Yeah, I think I think it's pretty obvious that we that in the beginning of this journey, it was all sort of very human in the loop. Right. Like, and there will, I think there will always be a large set of human in the loop interactions. Right. Like, and especially the browser, I think will generally be very like experience oriented. Right. Like I'm going somewhere and I'm experiencing something. So maybe you have this assistant that helps you with everything, but it's still like very in the loop.
23:56But it's also very obvious that especially these building blocks around actually like, strangely enough, like the code agents in the CLI, like Cloud Code, Codex, Gemini CLI, like those are sort of turning out to be really strong generalist agents, right? Because they live in that CLI space where they can do anything you can do in a computer pretty easily, right? And they can write code so they can even write their own tools to do new things and so on. And they are kind of like really being able to do longer and longer stretches of just like uninterrupted work where you give them some tasks and they just try to solve it, right?
24:42So I think... I had one of these CLI tools where I'm like, I was just trying to be like, okay, I'm going to make it into a full game and what I'm going to do is I'm going to have a test that I'll test if the game works and then I'm going to have it just keep iterating on it until like it, you know, passes the test and it ran for a few hours and it cost me$10 ,000.
25:04That's the other constraining factor. I will tell you, for those that are watching, be careful. I was like, whoops.
25:15It's wild. Yeah. Yeah. But I think, I mean, just to your question, right? Like, I think we'll see both, right? Like, I do think that we are on this cusp of seeing more and more, like, truly autonomous agents. Hopefully, they're still always doing things because some humans... As opposed to, like, actually having true agency and, like, the robotic takeover. Hopefully, it's still, like, long task, but some human was like, hey, go do this thing. Yeah, yeah. Do you think about like, I mean, you talked a bit about it in the content negotiation, but do you actually think about the economics and how they're shifting as a result of all of this stuff?
25:50Because it does feel like spend is very different in the world of agents. It really is about tokens. It's less about like computer network and storage. Everybody is repricing, right? Like we've launched new pricing for the same reason, right? Like I think everybody is starting to build credit models in some form, right? It seems to me, so I remember the shift from perpetual to recurring. I remember that, right? It feels like we're going from a recurring to a usage-based based on this. And is your experience the same? It's the same. I would say I think all of us are also looking for ways to make it more outcome-based rather than pure usage-based, right?
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26:29Like, and finding, trying to find ways, because like, often the usage of the agents, that's like a weird thing with usage based, right? Like that often you have very little control over what, like, is this question I asked the agent? A long, whatever, short one. Right, like, is it going to use a lot of tokens? Is it going to be a hundred bucks and twenty bucks? I don't really know, right? Like, it's going to be ten thousand, right? And is this game worth ten thousand or like ten dollars, right? Yeah, yeah, yeah. So I think a lot of us are also trying to figure out what those elements of value are.
27:03That sounds very tough to me. And it's really tough. So I think in reality, everybody's kind of like usage-based right now, right? Yeah. But I think at the same time, it's not impossible that over time, even if it's tough, we start getting better at figuring out elements that feel more aligned to values than just pure token usage, which feels pretty like one out of your control and not super aligned in the sense like if I could do the same thing for you in like five tokens, you would probably prefer that. It would probably pay me more to do it really fast in five tokens than to do it really slow with like 10 million tokens, right?
27:40Are you using agents and operations now? We are using some internally, but not enough, I would say. But we are using some. Like we are using some, like I think especially our developer organization have built custom agents for all kinds of stuff, like linear integration and management there and things like keeping up with what's happening in next years so we can keep doing the right framework adapters and so on. We've built a lot of that kind of internal tooling. For me, I'm just very interested in like right now today, not science fiction, like where do agents apply, right? Clearly, they're a great productivity tool.
28:23They can do longer running tasks. Clearly, there's basic stuff that they're pretty good at. For example, if I'm like, I don't know, convert from this language to this language, they're good at these kind of well-scoped, well-defined tasks. They seem less good at ongoing operations where you've got to be correct and these are kind of these complex spaces and so forth. Yeah. I think in the end, in a lot of those, like I mean obviously the kind of agent we're like the highest highest highest adopters of is the coding agents ourselves as well right something like agent runners we build like we're now building a lot of the product with those agents right like and have you found that to actually increased feature velocity?
29:08we can see like when people get good at it it starts really increasing the velocity with which you can build stuff and also it increases the capacity of like a really strong engineer to both go do some really hard focused work but just spin off a bunch of like the the easy stuff along the way and get it done right like but what i was saying there is that i still think we are more in the line of using that to build programs that does stuff when it's like automations rather than having like agents automate stuff because it becomes like weirdly unpredictable right like and in the end once you know what to automate it's like simpler to just to actually automate it to actually automate it right like i totally agree but i think the fact that like it's so much cheaper to write automations changes that like you start building a lot of automations and potentially you start building a lot of apps and automations instead of like buying a lot of software so this is a bit of a side but it just reminded me of something so you know max max bichemin the airflow you know superset guy so So like hardcore open source developer has a company called Preset.
30:20And he was telling me, he's like, you know, the most amazing thing with these coding agents is I've only worked on open source. Right now I'm working on a large open source. This project's been around for a long time. So all the agents know it. We're doing kind of front end JavaScript stuff, which they're all really good at. And so, you know, so like I feel like and then all of the engineers in the company are like pretty senior. Yeah. So it's like, she's like, we all woke up and we were like superheroes. It was like, you know, and so like you've got these senior engineers that are using these coding models like junior engineers on an open source code base.
30:58And, you know, the velocity is 10x, right? So that makes a lot of sense. But I also compare it to, I mean, I work with companies where they're doing pretty new stuff and it's not front end and it's kind of still experimental. And maybe they've got more junior developers or whatever. and I feel like the velocity hasn't increased at all. So I would assume like, at least in the case of Netlify, like you are doing a lot of JavaScript, a lot of front end, a lot of web. I mean, I would think that is probably pretty amenable to these models or... And I mean, but I will say that people that get good at them start using them for things across the stack, right?
31:39And I see that, right? You can get them to where I go. more senior developers or more more senior developers right like I think I think especially when the deeper you go in the stack the more you need to really be like kind of an architect right like to get these kind of agents to do the right stuff right like and then the higher up you go in the stack the more you can now be like just jump in and do it without like right without any development background yeah it's kind of a fun time right it's really fun time are you coding I'm like so I kind of made it like around the same time I wrote the AX article.
32:15Yeah. Like a little before that, I kind of started making it my personal mission that like I want to learn how to be a really good developer again. I always say I'm a pretty strong developer, right? Yeah, of course. I built like the back and the front and everything, right? Like for the first version, everything. Like from the C++ to the CSS, right? Like everything. Yeah, yeah. But I sort of started saying like, I want to make it my mission to become an equally good developer without writing any code myself. Yeah. And ideally without looking at code. Wow. You still need to do that, right? But I kind of like started to make it my mission.
32:54And in the beginning, it was very frustrating. And now I think it's really fun. Really? And now I do a lot of pull requests that I probably annoy as a team. You're actually submitting PRs? I'm doing like... Wait, but you haven't looked at the code? I mean, okay, when I do PRs to our actual code basis, I do go and look at the code because I've learned the hard way that otherwise the team does and they shout at me.
33:23So now I go and look at the code first and tell Cloud Code to fix it before I open the pull request. A lot of that has, like, we launched this new agent run-up product and a lot of that has, like, informed it because I wanted to make sure that you could actually do the whole, like, cycle of iteration before you open a pull request versus like the GitHub integrations where you ask like plot code to do something and then you get a pull request you never knew. Like, did it do something useful, right? But I do find like that once you start changing that whole mentality to just like work through the context engineering and the prompts and like the systems thinking and like guiding this model, it's pretty remarkable what you can get it to do.
34:07And there's definitely some cases where, so it's funny, there's some cases where I've built something where realistically, if I had the time to just sit time with a code editor in a like uninterrupted stretch and write the code, I would have written it faster and probably better. But as a CEO, I definitely don't have that time. And in this case, I could still build it. Yeah. But just by like spinning up this async run, checking on in between meetings, like where did it go? What did it do? Let me give it some feedback and do another iteration and so on, right? Like, so suddenly you can work in that way and it's a lot of fun.
34:48I mean, I was just, you know, I kind of work on these home projects and I was actually using like the cursor CLI and I was at dinner. I was curious how it was doing. I was like, okay, this is what I was doing. It's literally like a VC at a dinner, like talking about deals. I'm checking how my coding agents are doing. I've totally been like in the same situation. And it's funny. I've noticed like every founder CEO with a technical background I talk to now are doing pull requests. Yeah, I know. I know. It's awesome. It's just really funny. I think it's, I literally think it's a framework issue. Like if coding was simpler, like it used to be, like everybody would still be coding.
35:30but you just have to learn too many different things. And so it's really remarkable. Do you ascribe to that AI is going to kind of usher in the dead, what's called the dead web theory, where it's like it's only going to be agents talking to websites and there's no longer a UI issue? I get it, but I really don't believe in it. And I see the opposite happening now, right? Everything is happening at the same time, right? So you have a lot of slop generated that other agents consume and you have lots of LinkedIn that's just like chat tpt and so on, right? And probably people are asking chat tpt to summarize it from it and so on, right?
36:14I think the cliche is like, to sound fancy, I use AI to create something big and then to read it, you use AI to summarize it. But there's also just way more people having fun building crazy stuff. And there's a lot of that out there now and there's people building like really cool like WebGL games and so on that they could like just never managed to build before. And like there's so much going on that I think that theory just under, like there's so many of these theories, I think that just underestimates like humans and like being creative. I will say I personally have visited more new websites in the last six months and probably the five years prior just because there's so much more cool stuff.
36:58I'm like, I've kind of reduced everything to like a handful of sites that I check every morning in the last five years. And now there's always something new. And it's like, yeah, yeah, I think it's totally true. I mean, I also see it as just a general moment of like people building way more stuff than they did before. Right. Like, and I still see, and way more people building, right. And that's again, back to that idea of like, it becomes more accessible to be a developer. we open up, like for so long, we've taken for granted that like, again, if you're sort of really generous, go beyond JavaScript and so on, right?
37:30Like, let's say, what would you say is like 100 million professional developers in the world, maybe even less? I mean, we always estimate 60, roughly. It's probably more than that. But some, like, if you're really generous, you say like 100 million, right? Like out of like what, 8 billion people or something like that, right? Like that's like a really, really small part of humankind. Yeah. And every other human can only use software. Yeah. That those developer builds for them. Right. Like, and that's like such a constraint on that part. Right. Like, and to me, when that constraint goes away, we're just going to have a lot, like unimaginable amount of more software.
38:11Right. Like, yeah, maybe some of it will be bad, but there'll also be a lot more good stuff. The future is going to be weirder, wilder, and more wonderful than we could imagine. This is an aside, but it's an adjacency, which is, I really love that 3.js is having a moment. Yeah, yeah, me too, me too. It's amazing. It's amazing. So for those listening, 3.js is a JavaScript library for 3D, and it's always just been kind of this, you know, like, why would you use the web for 3D? You know, like, you know, like you didn't have like, you know, and now there's just full on like games being written, multiplayer games being written.
38:44really high quality graphics. Like, did you see that one recently? It was like... Yeah. The small planet, the tiny planet, the mail delivery. It was so amazing. And that probably wasn't even using AI, but like it is a time now that I do think that... Precisely. And it'll get encoded into like the language models will train on it. They'll figure it out and you'll start seeing people just like being able to just like spin something like that out. That's why I say, and you were there too because we're old. But like, I mean, this does remind me of the early days of the web. It really does. You just never know what to expect.
39:19There's this whole creative element, you know, which has nothing to do with business. Nobody to be SaaS. It's like kind of random kind of, you know, and it's a cool time to be in the industry. It's really cool. And I think like for me, it also reminds me just like in a much in small scale. And when I started Netlify and like... When was that? So I started working on it in like 2013, right? And then we launched out of private beta in March 2015. And back then, front-end developers were seen as a pseudo-developer. It was like someone that took a Photoshop file, sliced it up, and then handed it to a real developer that would implement it into something working.
40:01That was a front-end developer. And part of the mission back then was like, hey, if we give them the right tool chain, these front-end developers will go crazy and they will just build the whole thing. right like if we just separate all that back and stuff for them and like that was like the jamstack idea right i remember your early i remember your early pitch where you were like best for static sites maybe you'll see a little bit of dynamic like you can use it for static websites and then like now look at it now everything right everything like everything is built using everything is built using on it right like and these front-end developers are obviously the mainstream developers, right?
40:41There's like no question now, right? And that's just like the same moment I think we are with this schism where like there's still this notion of like, oh, these vibe quarters, they'll still need like a real developer to come like, and we will give them the tools and we will just see like this massive... But I will say like the hardcore developers also became full stack JavaScript developers. It wasn't like, you know... Yeah, like everybody just kind of shifted over there. And I think it'll be the same again, right? Yeah, yeah, yeah. I agree. Everybody has to like take that next leap, but it will be a much, much bigger pool.
41:16And it'll probably also be a different shift where like today you're kind of like either a developer or not to some degree, right? Like of course this makes sense. There's some VCs that develop software. Like in general, right? Like people that are like developers like hired with the title developer and that's what they do, right? And I think that's the other shift that I think software development will just be a skill. Yeah, I agree. And there will still, just like with writing, there's still professional writers, but all of us also have to know how to write as part of our jobs. Yeah, same thing with design.
41:50Development will become like that, right? There'll be a level of it that you're just expected to be able to do in lots of different jobs. And then there'll still be some expert developers that are only doing that, but it'll be the minority, I think. Bring us a bit into the future. So where do you think this... So I mean, just actually to try and maybe catch up the conversation a little bit, which is, or summarize the conversation is, last time we talked about this, it was a little bit speculative. You've seen actually a dramatic increase in users. Clearly, we're seeing... We've also seen like after that, so many companies start focusing on AX, right?
42:25And as I said, especially the developer tool space, right? Like where I think everybody has just seen, okay, we have to go in this direction, right? Like Bessemer had the updated version of like the developer tool laws. And the first one was AX, right? Like it's like Resend is like an example. And there's so many like from Superbase to like Neon, like everybody is like super focused on like we've got to work with these agents so we don't really matter. Right. But then also in spaces like the CJ of HubSpot, he's really like geared HubSpot towards like we need to just be really great for these agents to work with.
43:01right like and that's going to be the interface to much of our data and automations and everything like that right like and you're starting to see i think now with like chat tpt shopping like integration you'll start seeing everybody in the e-commerce space be like okay how do we really deal with this and so on right like so i think it's also become a really tangible industry really tangible changing the behavior and ceo submitting prs like change development changing like the type of years of going to the side, like all of these things. Like, do you have like a bit of a more science fiction-y kind of prognostication for where things go?
43:37Or do you think now it's, can you clearly see the next few years from here? I think everybody, like, I don't think anybody can right now, right? Like, I think we're definitely in this like wild space where like what's clear is that everything is changing so fast. I have paths like I believe in, right? Like the trends I believe in and things I think will definitely happen, right? And as I said, like I think, I do think we are going to this like world where software is much more of a thing that's not built by like this small, relatively speaking, really small part of humanity for all the rest of humanity and where software is something much more malleable and everybody can like sort of like do stuff on.
44:21And I think that also means that like code as we know it today is going to be much more of a niche thing that's not really very involved in like the daily process of software, which will change the infrastructure around software building a lot, right? Like because everything is so code centric right now, like things like GitHub and pull requests and so on, right? Like all of that, I think it's going to evolve to like a level of abstraction where it's much more about understanding like the outcome of what the agents do and the iteration with those agents and like introspecting and so on. And I think browsers will evolve really dramatically from this and we'll have much more.
45:03Like that originally concept of a user agent on the web is getting real, right? Like we're going to have like all of these different ways of consuming the web where some looks somewhat like the browser now and some really doesn't. A lot of things that's held us, like that's made it really challenging to build like very visual or UI driven experience and so on are going to be solved. Like, for example, all of the accessibility constraints, right? Like, they're going to not really matter because like, what would you prefer? Like, trying to access my e-commerce through a screen reader or just through chat, TPT, and voice mode, right?
45:40Listen, I think about this all the time, which it feels like the consumption layer is changing, right? So like, my son loves to chat with AI friends. Yeah. And when my son's 15, when my son becomes 18, to get a bank account, like, is he going to go to some shitty SaaS bank website or is it going to come through this? Yeah. Which also kind of begs the question is like, you know, like the web was never super conversational based. It was more UI based. And so does that shift? Is the consumption layer going to include AI going forward? Yeah, yeah. I think the consumption layer is definitely going to include AI and a lot of things are going to happen inside, like, agents that people even have, like, I think people will also, that's another reason I think AX is important versus, like, the company that thinks they will build, like, you'll go to their website and they will build an agent.
46:38But it's probably the consumption layer is going to become AI and then the AI consumes the traditional web. Precisely, because I don't think you, like, I think you will, like, already now you see people, like, have history with their chat, TPT, or cloud and they really have a preference, right? Like, and they don't want to go to, like, the banks and talk to that, right? Like they just want to interact in that way. So I think a lot of that will be really driven by like agents to interact with. And then I think at the same time, I think the application layer is going to be a whole new part of the web, right?
47:11Like where a lot of interaction and like seeing what's happening and like that whole concept of being able to build something and put it in a URL and everybody can use it and interact with it and can be like collaborative and so on. Like, I think that's still such a strong underpinning of the web that now that everybody can build more of it, like we also just at the same time, like we're going to see less of like the traditional bank website, but we're going to see much more like interesting stuff. Yeah, I think it's so remarkable the affinity between users and their, to your point, like their AIs.
47:45Yeah, yeah. And it's not just memory. Like a lot of people are like, well, you have the chat history of memory. It's not that like, did you see like the outcry and the move from GPT-4 to 5? Yeah. They're like, ah, support was so much better. Then it turns out that just meant it was more friendly. Yeah, yeah. You just got used to this. And so I think it's pretty clear that there's going to be a pretty serious attachment and they're going to want to like actually filter the web through that. So, you know, something that occurs to me is that there's two kinds of approach here. So some of the tools that I use, it's like they kind of do the work for me, which maybe as an old developer, I don't quite like because I like to have the creativity.
48:20I like to be very involved. And one thing that I've actually really appreciated, I mean, philosophically about kind of what Netlify is doing, and I just love your thoughts about this, is like, I get to use whatever tools I want and like I get to be the developer. And like, how do you view this as it plays out? Like, is this actually a philosophical distinction that's real or am I making that up? No, no, I think it's real. And I think there's two really different mindsets on it, right? Like there is that mindset of like building tools that claim to be like, we are now your developer. and like you don't need developers anymore because like the AI is your developer.
48:54It's like you're outsourced. Right, like you're outsourced. Our approach has really been like you are now a developer, right? Like whether it's to our existing developer base or whether it's to all of these new people that come in and start this journey, right? Like it's really like, okay, if you want to go on this journey, you're now a developer and you have to learn things and you have to understand like what happened, like how software is built, right? Like code is like a little part of it, right? Like, but if you want to like talk to a database, you have to like, know just like some, some element of like what's happening in the world.
49:27And you have to know that to be able to collaborate with these AI agents. And, and it's not like, you're not going to get success if your expectation is that you just go prompt them, build me XYZ app and they will do perfect, right? Like you're going to be successful if you're willing to learn how to develop software in a world where these agents are able to multiply your abilities, to write code, to do all kinds of stuff, but still have to take the direction from someone, right? Like, and I think that's what sort of underpins our whole approach to this and our whole philosophy, this idea that we are like helping billions of people become developers and take part in this practice of building software and not that it's like everybody's just a consumer.
50:20Yeah, yeah, yeah. This is an aside. Yeah. But I wonder if you have the same experience that I do, which is I find that like using AI as someone who's been developing for a long time is like an exercise in abdicating opinion. Because these models do dazzling things, but it's not always the dazzling thing that I would expect it to be, right? It's almost like I've got to let go of expectations because I can articulate, I want this and it'll do that, but I would have done it quite differently. And so, A, do you have the same experience of like, you kind of have to like let go? And then B, do you think this is just something because we've been developing and like that will just not be an issue as a new set of developers shows up?
51:08I mean, maybe that's why all founder CEOs is now programming with agents because it's like, we've already gone through that in a way. Like you started hiring these developers and you asked them like, do this thing and they come back with this thing that's like pretty cool, but it's like, I would have thought like, why did you do it that way? I love that. So you're almost like reclaiming power. That's so funny. And you're kind of already going to do that, right? Like, so now you can just do it in a closed loop with an agent that don't actually get angry at you and you're like, no, change it to my agent.
51:38So, but, but. I love that. There's definitely something to it, right? Like that you have to work at that level of like, it's not exact, like it's not exact, right? But you have to be really good at articulating what is it that matters, right? Like, and what is it you actually care about? And what is it that the agent can just make up? Because like, that's fine as long as it works, right? Like, and it feels very different than like, it's a very different feel than the traditional sort of part of really like centering yourself like figuring out exactly in your head like how should this software be put together and so on and you need to sort of like out of that step have like just a really clear idea of like what is the flow that really matters what is like the part of this software I really care about and then what is the part that like fill in the blanks so one of the consistent things in this conversation we've had is the system should not be the developer for you.
52:46Like the user, you know, system builder should be the developers. But now that's not just the subset of professional developers. It can be anyone. So maybe let's just end on this. For those that are listening to this who are not professional developers that want to enter this, like what would you recommend to them as far as like where places to start, like how to get going, maybe things to read? Yeah, yeah. I mean, so ironically, I think it's harder for me to guide that journey than someone from that space, right? But people I see going on that journey, right? Like I see them start with like tools like Bold or RebelEd or whatever.
53:21And then I see them jump very quickly from like... Did you say Bold? Bold. Bold. Bold.new, right? Yeah, yeah. We have like, for example, like we just had like a launch. Bold's great, by the way. I love it. I love it, right? And we just had this launch event where one of our challenges, like silly challenge, right? but we wanted an event and all of our team was building the product. So it was like, who's going to build the event site? So I told the team, this guy that's like a customer success manager, that's his background. And like you go into LinkedIn, right? Like no sort of technical background or anything, but he had been like super active in the Bolt community and he's just become really good at prompting Bolt, right?
54:05And he was tweeting at me with like a redesign of Netlify he made in bold. And it was like really cool. Wow. I said like, let's just ask him to make the event page. No. And he just prompted the event page entirely in bold. That's so cool. And the event is over now, but the page is probably still at netlify.com slash deploy, right? I think it's like a really, like, I think it's like, it was a very high performing event page for us. It's like one of the highest performing event pages we've had in the last four years, right? Like, and, and he has just, like, he has really learned a skillset, right?
54:40Like, it's not, I could not go, I'll admit, I can't go prompt Bolt to make that event pitch. Like, but he's really built that skillset and he's just built it by being like really curious and then looking at all the things he likes, right? Like, he has like a site, I think it's really cool. It has that pattern. I'm going to tell Bolt, like, look at this site and make, replicate this pattern and then combine it with this other pattern, right? And I think a lot of the people that start now starts with that kind of sort of remixing, right? And just like, how can I just like remix something? And then the people, like then some of them start just going deeper, right?
55:16Like they start using Cloud Code and Cursor and play around and they go directly to Netlify and they start like learning how more of the software work and they interrogate the models constantly. Not like they don't just take the outcome for granted, right? Like they keep interrogating, like, why did you do that? and like how did you build that and try to actually like use curiosity to understand. And those people are really learning fast. I do think this is a really important point to make that everybody should know is so, I work with many of these AI companies and they have, whether it's in a creative domain or a co-domain or a technical domain, they have users that don't come from those domains and they still have to work hard, right?
55:59So it's not like labor is being removed. Like it's still the best people work the hardest out of it. They work the hard. The best people still spend the most amount of time, right? It's just like the product is different in this time. And so for those of you that are interested, I do think, you know, and to use these AI tools, just realize that, you know, like it's, it is magic in that it gives you a result, but it is not magic in that you still have to put in the time and the effort to learn it, but they're great learning tools that produce great outputs. And so. It's funny because like I, in, in the past before all of this AI, when people asked what to do to be a good developer, I said, like, just have a really high tolerance for frustration.
56:39That's about right. Because you're just constantly going to do things in the beginning that doesn't work and it breaks and so on, right? And I think it's still not... I'm not sure it's any different. Exactly, that's my point, right? I think it's kind of the same, right? It's like that part of it's probably still the same. You're still going to be just like, okay, it didn't work, but I'm going to try again, right? And it broke and I'm going to try again. And like, I'm going to figure out how it works. And you got to just have that kind of like tenacity of like, just keep going. Amazing. On that note, I think this is a great place to head.
57:09And thank you so much for showing up. That was a lot of fun. That was really fun. Thank you.
57:22Thanks for listening. If you enjoyed the episode, let us know by leaving a review at ratethispodcast.com slash A16Z. We've got more great conversations coming your way. See you next time.
57:58Disclosures.
From the publisher
Netlify's CEO, Matt Biilmann, reveals a seismic shift nobody saw coming: 16,000 daily signups—five times last year's rate—and 96% aren't coming from AI coding tools. They're everyday people accidentally building React apps through ChatGPT, then discovering they need somewhere to deploy them. The addressable market for developer tools just exploded from 17 million JavaScript developers to 3 billion spreadsheet users, but only if your product speaks fluent AI—which is why Netlify's founder now submits pull requests he built entirely through prompting, never touching code himself, and why 25% of users immediately copy error messages to LLMs instead of debugging manually. The web isn't dying to agents; it's being reborn by them, with CEOs coding again and non-developers shipping production apps while the entire economics of software—from perpetual licenses to subscriptions to pure usage—gets rewritten in real-time.
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.
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Find a16z on X
Find a16z on LinkedIn
Listen to the a16z Show on Spotify
Listen to the a16z Show on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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