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Vercel’s Guillermo Rauch on What Comes After Coding

As AI writes code, developers must become better product thinkers

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TL;DR: Today we’re releasing a new episode of our podcast AI & I. I go in depth with Guillermo Rauch, the cofounder and CEO of Vercel, a cloud platform for hosting and deploying web applications. We get into how AI creates new levels of abstraction in coding, his take on the allocation economy, and why specialized agents are the future. Watch on X or YouTube, or listen on Spotify or Apple PodcastsHere’s a link to the episode transcript.

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Guillermo Rauch’s code is everywhere. OpenAI’s website is hosted on his company’s platform, Perplexity’s real-time chat feature is powered by his open-source tool, and if you’re building a new website or coding real-time features—like live notifications or instant messages—there’s a good chance you’ll use his code too.

Guillermo has been coding since he was 10 years old. He’s now the cofounder and CEO of Vercel, a platform that helps developers build fast, personalized web experiences. He’s also the creator of open-source tools like Next.js and Socket.IO

The thing is, he doesn’t think of himself as a coder.

“I don't think I would identify… as a coder, even though that’s what I obsessed about for years,” he says, sitting opposite me wearing a black sweater, groomed moustache, and wry grin. 

A successful software business is about a lot more than just code, he says; it’s about having the drive to build a practical, useful product. “Coding is a specific skill, and when things are specific skills, machines tend to take them over time,” he says, “so what I try to separate is, what are the meta skills… not as easily replicated by machines that you should still nurture?” Meta skills, Guillermo believes, “tend to be more around very high-level conceptual thinking.”


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In a world where AI can handle routine coding work, Guillermo has noticed developers at Vercel becoming more full stack. “I think it’s an important asset to have… with [Vercel’s AI coding copilot] v0 for example, they can do design. They can bring context, data, copywriting into their creations that otherwise would have required chatting with other people and crowdsourcing ideas.

“The trend has been away from the implementation detail, which is the code, and toward the end goal, which is to deliver a great product or a great experience.”

I spent a fascinating hour talking with Guillermo. The whole conversation is riveting, and you can check it out here:

Paying subscribers can get a quick summary of some of the themes we touched on related to building great products, and lasting companies:


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  • The new economics of AI
  • Picking apart great products to shape new ones
  • Founder mode, at scale

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