Skip to content
No PriorsNo Priors

No Priors Ep. 62 | With Cognition CEO and Co-Founder Scott Wu

Scott Wu loves code. He grew up competing in the International Olympiad in Informatics (IOI) and is a world class coder, and now he's building an AI agent designed to create more, not fewer, human engineers. This week on No Priors, Sarah and Elad talk to Scott, the co-founder and CEO of Cognition, an AI lab focusing on reasoning. Recently, the Cognition team released a demo of Devin, an AI software engineer that can increasingly handle entire tasks end to end. In this episode, they talk about why the team built Devin with a UI that mimics looking over another engineer’s shoulder as they work and how this transparency makes for a better result. Scott discusses why he thinks Devin will make it possible for there to be more human engineers in the world and what will be important for software engineers to focus on as these roles evolve. They also get into how Scott thinks about building the Cognition team and that they’re just getting started. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @ScottWu46 Show Notes: 0:00 Introduction 1:12 IOI training and community 6:39 Cognition’s founding team 8:20 Meet Devin 9:17 The discourse around Devin 12:14 Building Devin’s UI 14:28 Devin’s strengths and weakness 18:44 The evolution of coding agents 22:43 Tips for human engineers 26:48 Hiring at Cognition

Sarah GuohostScott WuguestElad Gilhost
May 1, 202429mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Cognition’s Devin Reimagines Software Engineering With Autonomous AI Teammates

  1. Cognition CEO Scott Wu discusses Devin, an autonomous AI software engineer designed to handle end‑to‑end coding tasks, from reading docs and using the shell to debugging and deployment.
  2. He explains how his background in competitive programming and math shaped Cognition’s focus on reasoning and problem-solving, rather than just raw code generation.
  3. Wu argues that Devin will multiply, not replace, human engineers by offloading execution work so humans can focus more on problem definition, architecture, and product thinking.
  4. The conversation also covers agent UX design, the future of software work, the technical frontier for agents, and Cognition’s approach to assembling a high‑ownership founding team.

IDEAS WORTH REMEMBERING

5 ideas

Autonomous agents work best when users can observe and steer them.

Devin’s UI (planning, shell, code, browser views) is explicitly designed so humans can periodically check in, give quick feedback, and redirect work—more like managing a junior engineer than firing-and-forgetting a black-box agent.

AI engineers will multiply developer output rather than eliminate engineering jobs.

Wu argues demand for software vastly exceeds current supply; by automating execution and setup, tools like Devin enable engineers to build far more, pushing them toward higher-level problem-solving instead of displacing them.

Reasoning, planning, and tool use are as critical as base model quality.

Cognition invests heavily in how Devin plans, chooses actions, and uses tools (shell, browser, tests) to iteratively debug and build, rather than relying on a model to emit a perfect diff in one shot.

Best early use cases involve long, multi-step workflows with clear goals.

DevOps setup, infrastructure debugging, and end-to-end data analysis are strong fits because they require many small decisions, tool interactions, and iterations that Devin can handle autonomously once the target is specified.

Future software engineers will look more like technical architects and product thinkers.

Wu predicts engineers will spend much more time defining problems, enumerating edge cases, and specifying desired behavior, while AI handles most of the translation into code and mechanical debugging.

WORDS WORTH SAVING

5 quotes

Devin is an AI software engineer that is fully able to make all of its own decisions in the same way that a human software engineer would.

— Scott Wu

There’s so much more that could be built with code that I think multiplying every single developer is going to give us more developers, not less.

— Scott Wu

I think the role of a software engineer five or ten years from now looks something like a mix between a technical architect and a product manager today.

— Scott Wu

We think of Devin as: you provide the precise formulation of what you want built, and Devin is the one that is doing the thoughtful execution of that.

— Scott Wu

Ten years from now, people will look back and think, ‘Isn’t it crazy that you had to learn all these esoteric languages just to be able to communicate with your computer?’

— Scott Wu

Scott Wu’s background in math, competitive programming, and AI startupsWhat Devin is, how it works conceptually, and key use casesAgent UX: designing Devin as a steerable, observable AI teammateImpact of AI agents on software engineering roles and demandTechnical challenges and future directions for agentic systemsEvolving skills and education for future software engineersCognition’s hiring philosophy and early team composition

High quality AI-generated summary created from speaker-labeled transcript.

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.

Add to Chrome