Sahil Lavingia: prediction

Transcript context

…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 Lavingia, 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 to you by Enterpret. Enterpret is a customer intelligence platform used by leading CX and product orgs like Canva, Notion, Strava, Hinge, and Linear to leverage the voice of the customer and build best in class products. Interpret unifies all customer conversations in real time, from Gong recordings to Zendesk tickets to Twitter threads, and makes it available for your team for analysis. What makes Interpret unique is its ability to build and update a customer-specific knowledge graph that provides the most granular and accurate categorization of all customer feedback and connects that feedback to critical metrics like revenue and CSAT. If modernizing your voice of the customer program to a generational upgrade is a 2025 priority, like customer-centric industry leaders Canva, Notion, and Linear, reach out to the team at interpret.com slash howiai. That's E-N-T-E-R-P-R-E-T dot com slash howiai. 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 Devin, 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 said? I feel like I tell the team constantly, like we have a lead, you know, but the lead is getting shorter and shorter every day. Every week there's a new model coming out. So I would say like by the end of next year, I would suspect that like every engineering team in any company is, you know, using Cursor and Devon and VZero and all these tools to ship, you know, multiple times faster and the question is is mostly like can the organization adapt such that those people can do so right like the bottlenecks are are show up in other places like toki just tweeted about you know his salvify 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, to try and fail and cross-share learnings, 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 using these tools. So we'll get your screen up and you can walk us through how you think about things.…

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