Devin

About Devin

Devin represents a groundbreaking leap in the realm of AI software engineering. Developed by Cognition, a leading applied AI lab backed by a substantial $21 million Series-A funding led by Founders Fund, Devin is not just an AI tool; it is a fully autonomous software engineer, poised to redefine how engineering tasks are approached and completed.

Imagine a tireless, skilled teammate, always ready to collaborate or work independently on tasks, freeing up human engineers to focus on more complex and intriguing challenges. This is Devin's promise. With advanced capabilities in long-term reasoning and planning, Devin can undertake intricate engineering tasks that demand thousands of decisions, all while recalling relevant context, learning from experience, and rectifying errors along the way.

Equipped with a comprehensive suite of developer tools—including a shell, code editor, and browser within a secure, sandboxed compute environment—Devin possesses everything a human engineer needs to excel at their craft. Moreover, Devin isn't just a solitary worker; it actively collaborates with users, providing real-time progress reports, accepting feedback, and engaging in joint decision-making processes.

So, what can Devin do? The possibilities are vast:

• Learn Unfamiliar Technologies: Devin quickly masters new technologies, ensuring it can adapt to diverse project requirements.
• Build and Deploy Apps End-to-End: From creating interactive websites to deploying complex applications, Devin handles the entire development cycle.
• Find and Fix Bugs Autonomously: Devin is adept at locating and resolving bugs within codebases, aiding in maintaining clean and efficient software.
• Train AI Models: Devin can train and fine-tune its own AI models, leveraging its learning capabilities to enhance performance.
• Address GitHub Issues: Whether it's bugs, feature requests, or contributions to open-source repositories, Devin excels at navigating GitHub tasks with ease.
• Real Job Scenarios: Devin's capabilities extend to real-world tasks, as demonstrated by its success in writing and debugging code for computer vision models on platforms like Upwork.

Devin's performance is equally impressive. Evaluated on the rigorous SWE-bench benchmark, which tasks agents with resolving real-world GitHub issues from projects like Django and scikit-learn, Devin excels. It achieves a remarkable 13.86% success rate in resolving issues end-to-end, far surpassing previous state-of-the-art models at 1.96%. Even when provided with exact files to edit, other models only manage 4.80% success.

Behind Devin is a team at Cognition Labs driven by a vision of advancing AI reasoning capabilities beyond current standards. Their mission extends beyond code; they aim to empower individuals worldwide to realize their ideas. The team comprises experts with notable achievements, including 10 IOI gold medals, and a collective background in leading AI companies like Cursor, Scale AI, Modal, and Google DeepMind.