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Devin, the first AI software engineer, created by Cognition, acts as an "army of junior engineers." Cognition’s president Russell Kaplan discusses the goal to “promote” Devin to senior engineer, which could transform AI innovation.

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27,213 views • 10 months ago •via X (Twitter)

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Scott Wu (Scott Wu) runs Cognition, the team behind Devin, an AI software engineer built on Claude. He wants to make building software 10x faster for every engineering team:
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Scott Wu (Scott Wu) runs Cognition, the team behind Devin, an AI software engineer built on Claude. He wants to make building software 10x faster for every engineering team:

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New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:
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New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:

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251,873 views • 1 year ago

Software Engineers are in BIG TROUBLE Cognition introduced Devin, first AI software engineer, and it's insane It literally can: - Code entire projects - Complete Upwork jobs - Fix issues in large repos - Deploy in a sec Here's some wild examples: 1/5 Doing real jobs on Upwork
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Software Engineers are in BIG TROUBLE Cognition introduced Devin, first AI software engineer, and it's insane It literally can: - Code entire projects - Complete Upwork jobs - Fix issues in large repos - Deploy in a sec Here's some wild examples: 1/5 Doing real jobs on Upwork

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Today we're excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser. When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted. Check out what Devin can do in the thread below.

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AI has changed software engineering more in the last 3 years than it has changed in the previous 30. What’s needed is not a debate about whether it’s going away—instead it’s a serious discussion about its future: What are the new primitives, techniques, and best practices for software engineering in the age of AI. That’s why I brought Scott Wu (Scott Wu) on AI & I. He’s the founder of Cognition, the company behind the world’s first autonomous AI coding agent, Devin. Cognition got to $73M ARR in less than 2 years—and they just acquired Windsurf to accelerate their growth. I had Scott on the show to talk about where the programming goes from here. We get into: - What the new tools and workflows are for AI engineers. In the near term, Scott sees software engineering defined by a spectrum of tools. At one end are AI features that speed up coding, like tab complete; at the other are agentic systems, like Devin, that can take on tasks independently. Until engineers can operate entirely at the higher layer of abstraction, he argues, both are essential. - Why Scott thinks AGI is already here. By the benchmarks of a decade ago—passing the Turing test, solving hard math problems, and operating agentically—AGI is already here. The line keeps moving, he argues, because humans constantly redefine work around what machines can’t yet do. - Why developers will turn into product architects. Scott sees the long-term future of software engineering as a steady climb up the ladder of abstraction. Just as programming went from assembly to languages like Python and JavaScript, he thinks the future is humans focusing on the product, while AI agents execute. - How Devin stacks up against Anthropic’s Claude Code. Scott credits Claude Code’s success to great product design and the models becoming capable enough to support autonomous workflows. But according to him, the CLI itself isn’t the breakthrough, it’s how a tool fits into a developer’s workflow. Claude Code’s paradigm is that the AI is you, taking the wheel of your computer, he says, while Devin is like the engineer sitting beside you: it runs in its own cloud environment, manages the repo, and improves over time at testing and refining code. This episode of Every 📧’s AI & I is a must-watch for anyone interested in the brass tacks of how AI changes the future of programming. Watch below! Timestamps: Introduction: 00:02:02 Why Scott thinks AGI is here: 00:02:32 Scott’s personal journey as a founder: 00:09:27 Why the fundamentals of computer science still matter: 00:16:55 How the future of programming will evolve: 00:22:30 A new workflow for the AI-first software engineer: 00:26:50 How Devin stacks up against Claude Code: 00:29:33 Reinforcement learning to build better coding agents: 00:40:05 What excites Scott about AI beyond Cognition: 00:50:05
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35,342 views • 11 months ago