Scott Wu
Scott Wu is the co-founder and CEO of Cognition, the company behind Devin—the world’s first autonomous AI software engineer. Unlike other AI coding tools, Devin works like an autonomous engineer that you can interact with through Slack, Linear, and GitHub, just like with a remote engineer. With Scott’s background in competitive programming and a previous AI-powered startup, Lunchclub, teaching AI to code has become his ultimate passion.What you’ll learn.
Building & Shipping Skills
AI coding agents function as autonomous junior engineers that can handle end-to-end tasks asynchronously through standard team communication tools.
"Devin is a fully autonomous software engineer that is going to work on tasks end to end, and so there are a lot of great tools for all parts of the stack of the AI code workflow. What Devin does is it..."
Integrating AI into an engineering workflow involves connecting agents directly to existing communication and project management tools to facilitate asynchronous task handoffs.
"What Devin does is it is a full asynchronous workflow, and so you can tag Devin on an issue in Slack, you're talking about an issue and you tag Devin, you can tag Devin in Linear, you can have Devin a..."
Managing multiple AI agents allows an engineer to shift from doing single-task implementation to coordinating a parallel team, significantly increasing personal output.
"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..."
AI agents act as a persistent team knowledge base, allowing new members to access accumulated context and explore codebases without social friction.
"And then it's also kind of multiplying your team and multiplying your team's knowledge base because Devin really accumulates a lot of the knowledge from working with every member of your team and is a..."
Career (separate track) Skills
As AI handles implementation, the role of an engineer shifts toward higher-level architecture and the ability to precisely decompose and define problems.
"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..."
Overlay: Building AI Products Skills
AI product success depends equally on model capabilities and the opinionated design of the interface and tools that facilitate human-agent interaction.
"I think it's a 50/50 of both. I think the capabilities obviously have improved a ton and we've seen these get better and get measurably better. But I think the other side of it is everything to do wit..."