Gumroad CEO's playbook to 40x his team's productivity with v0, Cursor, and Devin | Sahil Lavingia

Can you do something that used to take two weeks in two hours and that's like a 40 times speed increase? So that's kind of like the number that I have in my head generally like what's the most optimistic case if you kind of remove all the bottlenecks. Something that would take 40 hours would take 1 hour. If you're suggesting to us that AI is going to raise the bar on what's possible to do, you are certainly setting the standard. The majority of human engineering will be removing tech debt such that AI engineers can actually ship features. It's also scary, I think, which is why I think so many people shy

away from this stuff. It's like there is this part of why change is uncomfortable is that change can kill you. There's like a fear of change. It's like job security, right? But at the end of the day, I think it's sort of also job [Music] insecurity. Hey everyone, welcome to How I AI, a podcast on how AI is transforming how we get things done. I'm Claire, product leader and AI obsessive here on a mission to help you build better with these new tools. Today I have an absolute powerhouse guest, Sahil

Levvenia, CEO and founder of Gumroad. If you don't know Gumroad, it's the platform that has helped creators sell over a billion dollars of products directly to their audiences. Sahil's been at the bleeding edge using AI to transform how companies build products and write code. Doing everything from open- sourcing the entire Gumroad repo to paying his employees thousands of dollars if they can write more AI powered code than he does. Today he's going to show us exactly how he does it. Let's dive in. This episode is brought

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t.com/howi ai. Hey, so I'm super excited to have you here. And before we dive into the demos, I wanted to call out something that you said a couple days ago, which is Devon, the AI engineering agent, who I also love, is writing 41% of your PRs right now, and you expect it to go to 80% by the end of the year. So, do you think that's the baseline that we should all be shooting for? Do you think you're way ahead of the curve? Where should we all be compared to that

benchmark that you just set? I feel like I tell the team constantly like we have a lead you know but the lead is getting shorter and shorter every every day every week there's a new model coming out so I I would say like by the end of next year I would suspect that like every engineering team at any company is you know using cursor and devon and vzero and all these tools to ship you know a multiple times faster and the question is is mostly like can organization adapt such that those people can do so right like the

bottlenecks are are show up in other places like Tony just tweeted about you know his simplify AI stuff today and I think that becomes the question is like how fast can you actually change your organization your culture especially when you're remote it's harder to make these big changes across the org to get people to learn new stuff uh to try and fail and cross share learnings you know all that all that kind of stuff okay so we're going to do it one at a time which is you're going to show us how you actually redesign or build something