Evidence receipt / prediction
Published · transcript-backedSahil Lavingia: prediction
22 Apr 2025 Lenny's Podcast Announcing a brand-new podcast: “How I AI” with Claire Vo 🔥
“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.”
Source trail
Everything needed to verify it.
- Speaker
- Sahil Lavingia
- Attribution
- Verified speaker
- Claim type
- prediction
- Recorded
- 22 Apr 2025
- Publisher
- Lenny's Podcast
Transcript context
…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 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 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?…
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