Scott Wu: belief

Transcript context

…How is the act of being an engineer and building changing? 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 AI gets more powerful. Today my guest is Scott Wu. Scott is the co-founder and CEO of Cognition, which makes a product called Devin, the world's first autonomous AI software engineer. Unlike other AI tools that I've highlighted on this podcast, Devin is designed to act like an actual remote engineer that you chat with like you would with any other human engineer through Slack or through its dedicated website. When Devin launched about a year ago, it was very much a junior engineer. Over the past year, they've made a lot of progress and Devin is now being used by tons of companies in production. We chatted about how their engineering team of 15 uses Devins to build Devin, including how every engineer uses about five Devins each to help them code and move faster. How a quarter of their pull requests today are committed by Devins and that they expect this to be over 50% by the end of the year. We also talk about how Scott imagines software engineering is going to look in the future and how the role of an engineer changes from a coder to an architect. We also get into the eight pivots that they went through before landing on this path, why Scott believes AI tools like this will lead to more engineer hiring versus less. Also where the name Devin comes from and so much more. This episode is going to blow your mind. I highly recommend you listen to it if you're at all interested about where engineering, product building, and AI is going. A huge thank you to Claire Voue for suggesting a bunch of great questions for this conversation. If you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. Also, if you become an annual subscriber of my newsletter, you get a year free of Linear, Superhuman, Notion, Perplexity, and Granola. Check it out at lenny'snewsletter.com and click bundle. With that, I bring you Scott Wu. This episode is brought to you by Enterpret. Enterpret unifies all your customer interactions from Gong calls, to Zendesk tickets, to Twitter threads, to app store reviews and makes it available for analysis. It's trusted by leading product orgs like Canva, Notion, Loom, Linear, monday.com, and Strava to bring the voice of the customer into the product development process, helping you build best in class products faster. What makes Enterpret special is its ability to build and update customer specific AI models that provide the most granular and accurate insights into your business. Connect customer insights to revenue and operational data in your CRM or data warehouse to map the business impact of each customer need and prioritize confidently and empower your entire team to easily take action on use cases like win-loss analysis, critical bug detection, and identifying drivers of churn with Enterpret's AI assistant Wisdom.…

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