Tools / Devin

Devin is an AI coding agent that operates autonomously in the cloud or on your machine, handling tasks from planning to merged PRs.
Devin is an autonomous AI software engineer developed by Cognition. It is designed to handle entire software development tasks from start to finish, including planning, coding, testing, and submitting pull requests. Devin can run in the cloud or on a local machine and uses its own browser for testing. The tool aims to help engineering teams build software more quickly by automating various development processes.
Devin can perform a range of tasks such as adding new features, fixing bugs, or conducting security scans. It operates by spinning up virtual machines (Windows, Mac, Linux) as needed to build and test code. It can record its own actions, showing how it interacts with what it has built. Devin also integrates with existing workflows, allowing users to delegate tasks and receive updates. It can be tagged in communication platforms like Slack or Teams to respond to threads and begin work. Additionally, it can be set up to proactively watch for issues and fix them, such as handling bugs or failed CI alerts.
The tool uses a mix of different AI models to optimize performance and cost. It can analyze codebases, understand system architecture, and update diagrams as the code evolves. Devin's capabilities extend to managing parallel cloud agents for larger tasks, ensuring work continues even when a user's laptop is closed. It aims to provide a comprehensive solution for software engineering teams looking to automate and accelerate their development cycles.
Devin can handle a variety of software engineering tasks, including planning features, fixing bugs, performing security scans, upgrading dependencies, and optimizing database queries.
Devin spins up its own Windows, Mac, and Linux virtual machines to build and test code. It can also test in its own browser and record its actions.
Yes, Devin can be tagged in platforms like Slack or Teams. It reads the thread, responds to follow-ups, and begins working on tasks.
Yes, Devin can be set up to watch for issues such as bugs or failed CI alerts and proactively fix them.
Devin uses a combination of frontier AI models, mixing and matching them to achieve optimal performance and cost efficiency.
For large tasks, Devin can split the work across parallel cloud agents, manage them, and report back on progress.
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