Devin
Autonomous Software Engineer for Development Teams
Devin is an autonomous AI designed to collaborate with development teams. It executes complex tasks, learns from experience, and integrates tools like terminal and code editor. It boosts productivity, automates processes, and adapts to existing workflows.
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RegistrationWhat is Devin?
Devin is the first fully autonomous AI-powered software engineer, designed to collaborate with development teams and significantly improve their productivity. This innovative AI stands out for its ability to plan and execute complex engineering tasks requiring thousands of decisions, maintaining relevant context at each step, learning from experience, and autonomously correcting errors.
The platform is equipped with essential developer tools: terminal, code editor, and web browser within a secure computing environment. This allows it to perform a wide range of tasks, from code migration and data analysis to ETL engineering and documentation maintenance. Devin can work autonomously or collaboratively, responding to natural language instructions, sharing its plans, and adapting to each team's specific knowledge.
A standout aspect is its performance on the SWE-bench benchmark, where it correctly resolves 13.86% of problems autonomously, significantly surpassing the previous state of the art. The platform can learn new technologies, build and deploy complete applications, train AI models, and contribute to mature production repositories.
Devin is designed to integrate into existing workflows, including tools like Notion and Jira, and can operate in parallel with multiple instances to handle various types of tasks, from automation and testing to frontend development and ticket resolution, allowing engineering teams to focus on more strategic objectives.
The platform is equipped with essential developer tools: terminal, code editor, and web browser within a secure computing environment. This allows it to perform a wide range of tasks, from code migration and data analysis to ETL engineering and documentation maintenance. Devin can work autonomously or collaboratively, responding to natural language instructions, sharing its plans, and adapting to each team's specific knowledge.
A standout aspect is its performance on the SWE-bench benchmark, where it correctly resolves 13.86% of problems autonomously, significantly surpassing the previous state of the art. The platform can learn new technologies, build and deploy complete applications, train AI models, and contribute to mature production repositories.
Devin is designed to integrate into existing workflows, including tools like Notion and Jira, and can operate in parallel with multiple instances to handle various types of tasks, from automation and testing to frontend development and ticket resolution, allowing engineering teams to focus on more strategic objectives.
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