Devin

The AI That Hired Itself Into the Codebase

When Cognition Labs demoed Devin in March 2024, it triggered a collective jaw-drop across Silicon Valley. A ten-person team — nearly every member a gold medalist at the International Olympiad in Informatics — had somehow built an AI agent that could autonomously plan, write, test, debug, and deploy software from a single natural language prompt. Within days, the demo had been viewed millions of times. Within weeks, Founders Fund had written a $21 million check, then followed it one month later with $175 million more.

Devin isn't a code autocomplete tool. It's a fully agentic software engineer that operates inside a sandboxed workspace with its own shell, browser, code editor, and persistent file system. Give it a GitHub issue or a Slack message, and it will pull the relevant repository, analyze thousands of files, form a plan, execute it across multiple sessions, run tests, iterate on failures, and open a pull request — with no human in the loop. On the industry-standard SWE-bench benchmark of real-world GitHub issues, Devin achieved 13.86% end-to-end resolution at launch, against a prior best of 1.96%.

• Devin 2.0 (April 2025): Overhauled the platform with an agent-native IDE, interactive planning, Devin Search, Devin Wiki, and parallel multi-agent sessions — while slashing the entry price 96% from $500/month to $20/month.
• MultiDevin: One Devin instance can spin up sub-agents to parallelize complex tasks across branches and repositories simultaneously.
• Enterprise customers: Goldman Sachs (piloting alongside 12,000 engineers), Citi, Dell, Cisco, Ramp, Palantir, Nubank, and Mercado Libre.

In July 2025, Cognition acquired Windsurf — the agentic IDE that Google had tried (and failed) to fully absorb — for an estimated $250 million, doubling ARR to ~$155 million overnight. By September 2025, Cognition closed a $400 million round at a $10.2 billion valuation led by Founders Fund, cementing its place alongside OpenAI and Anthropic in the AI decacorn club. Remarkably, total net burn since founding remained under $20 million, making Cognition one of the most capital-efficient hypergrowth AI companies in history.