Scott Wu (00:00:00): Our whole team is only like 15 engineers a year. We use a ton of Devin when we're building Devin. Most folks on the team are definitely working with up to five Devins at once, and so Devin merges like several hundred pull requests into production in the Devin code bases every month. Lenny Rachitsky (00:00:12): What percentage of your PRs are Devin versus humans right now? Scott Wu (00:00:16): It's in the neighborhood of a quarter or so. Lenny Rachitsky (00:00:19): Where do you think this will be at the end of the year? Scott Wu (00:00:21): Honestly, we expect it to be a decent bit more than half. Lenny Rachitsky (00:00:24): You guys are so ahead of how companies work with AI engineers. Scott Wu (00:00:28): AI is going to be the biggest technology shift of our lives, so most of the big tech revolutions that we've had over the last 50 years, like personal computer, and the internet, and the mobile phone, they all had this big hardware component that was a big part of the distribution. Folks who were building for those industries kind of saw their market grow and grow and grow basically steadily year over year as the number of people with mobile phones increased, right, as the number of people connected to the internet increase. One of the things which is already I'd say different in AI, is just how explosive the technology can be. There's no weight on hardware distribution. It means that the space is just growing so exponentially. Lenny Rachitsky (00:01:02): How is the act of being an engineer and building changing? Scott Wu (00:01:05): I think there's going to be way more programmers and way more engineers a few years from now. Pretty quickly. The form factor of what it means to be a programmer obviously is going to change, but at the end of the day, of course the discipline is all about just being able to tell your computer what's do. And so in that lens, I really think that programming is only going to become more and more important as ...