Blog post
FreeThe first AI software engineer
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Inputs: codeOutputs: code
About Blog post
Devin is the first AI software engineer, developed by Cognition Labs. It is an autonomous teammate capable of planning, writing, testing, and shipping production code while collaborating with human developers. Devin utilizes long-term reasoning and planning to handle complex engineering tasks involving thousands of decisions. It is equipped with common developer tools (shell, code editor, browser) in a sandboxed compute environment, can learn unfamiliar technologies on the fly, and fixes mistakes autonomously. On the SWE‑bench benchmark, Devin resolves 13.86% of real‑world GitHub issues end‑to‑end, far exceeding the previous state‑of‑the‑art of 1.96%. Devin is currently in early access with a waitlist.
Key Features
Long‑term reasoning and planning for complex engineering tasks
Recalls relevant context, learns over time, and fixes mistakes
Equipped with shell, code editor, and browser in a sandboxed compute environment
Actively collaborates with users: reports progress in real time and accepts feedback
Can learn unfamiliar technologies, build and deploy apps end to end, find and fix bugs, train and fine‑tune AI models, and contribute to open source repositories
Excels on SWE‑bench, resolving 13.86% of issues vs. 1.96% previous SOTA
Pros & Cons
Pros
- Outperforms previous state‑of‑the‑art on SWE‑bench by a significant margin (13.86% vs. 1.96%)
- Works end‑to‑end autonomously, requiring only a link to a GitHub issue
- Actively collaborates with human developers, accepting feedback and working together on design choices
- Can learn and use unfamiliar technologies by reading documentation
- Equipped with a full developer environment including shell, editor, and browser
- Deployed at some of the largest and most complex institutions
Cons
- Currently in early access with limited capacity; requires joining a waitlist
- Absolute performance on SWE‑bench (13.86%) indicates many issues are still unresolved
- May still need human oversight for highly complex or novel tasks
- Not publicly available yet, so real‑world adoption is limited
Best For
Building and deploying interactive web applications (e.g., Game of Life)Maintaining and debugging open source codebases (e.g., competitive programming books)Training and fine‑tuning large language models from a GitHub repositoryResolving bugs and feature requests in mature production repositories (e.g., sympy)Automating repetitive software engineering tasks so engineers can focus on more interesting problemsHandling real‑world freelance jobs (e.g., writing and debugging computer vision code)
FAQ
What is Devin?
Devin is the first AI software engineer, developed by Cognition Labs. It can plan, write, test, and ship production code autonomously while collaborating with human developers.
How does Devin perform on benchmarks?
On SWE‑bench, Devin resolves 13.86% of real‑world GitHub issues end‑to‑end, far exceeding the previous state‑of‑the‑art of 1.96%.
Can Devin collaborate with humans?
Yes. Devin reports its progress in real time, accepts feedback, and works together with users through design choices.
How can I use Devin?
Devin is currently in early access. To start using it, join the waitlist or contact Cognition at info@cognition.ai.
What technologies can Devin work with?
Devin can learn unfamiliar technologies, work with common developer tools (shell, code editor, browser), and contribute to any codebase that supports those tools.