Devin

What is Devin?

Devin is the world’s first fully autonomous AI software engineer agent launched by the AI startup Cognition. It possesses powerful programming and software development capabilities, enabling it to assist or independently complete software development tasks in various aspects. In the SWE-bench benchmark test, Devin significantly outperforms AI models such as GPT-4 and Claude 2 in solving practical problems.

Although Devin’s development company, Cognition, has only been officially established for two months, its team members possess rich experience in cutting-edge AI work and have won multiple gold medals in the International Olympiad in Informatics (IOI). It has secured $21 million in Series A funding led by Peter Thiel’s Founders Fund.

The main functions of Devin

• Independently learn new technologies: Devin can learn unfamiliar technologies by reading documentation and code, thereby expanding its skill set.
• End-to-end program building and deployment: Devin can understand the entire software development process, from front-end design to back-end deployment, including publishing applications online. This means it can build websites, games, or other software projects from scratch and handle the related workflows.
• Independently identify and fix bugs: Devin has excellent debugging capabilities, enabling it to discover and resolve errors in code, including issues that developers themselves may not notice.
• Train and fine-tune AI models: Devin can not only handle routine programming tasks but also assist in training and fine-tuning other AI models, demonstrating its deep application capabilities in the field of artificial intelligence.
• Fix issues in open-source libraries: Devin can understand and address problems in the open-source community, such as fixing known bugs or implementing new feature requests.
• Contribute to mature production libraries: Devin can contribute to well-established production libraries, such as fixing known errors or adding new features.

Performance comparison of Devin

In the SWE-bench benchmark test (which requires agents to solve real GitHub issues found in open-source projects such as Django and scikit-learn), Devin was able to correctly address 13.86% of the problems. This performance is significantly higher than the previous state-of-the-art level of 1.96%, demonstrating Devin’s substantial advantage in understanding and solving practical programming problems.

Comparison with other AI models: Devin’s performance far exceeds that of other well-known AI models such as GPT – 4 and Claude 2. These models usually have a lower accuracy rate in the same tests.