Devin is Cognition’s autonomous AI software engineer. It can understand codebases, plan tasks, write and test code, review changes, and ship production code while working with the tools and workflows development teams already use.

• Autonomous software development: Plans, writes, tests, reviews, and ships code with less hands-on work.
• Cloud-based development: Runs in its own environment and can continue working after you leave your computer.
• Computer-use testing: Tests web and desktop applications in its own computer environment and can provide screen recordings for review.
• Self-review and autofix: Reviews its work, finds issues, and can fix problems before handing work back.
• Multiple Devins: Breaks larger projects into smaller tasks and runs managed Devins in parallel.
• Recurring tasks: Schedules Devin sessions for repeatable engineering work.
• MCP integrations: Connects with external tools and data sources, including services such as Sentry, Datadog, Vercel, Notion, Linear, and Atlassian.
• CLI and desktop access: Devin is available through Devin Cloud, Devin CLI, and Devin Desktop workflows.

• Handles end-to-end development: Devin can plan, write, test, review, and fix code instead of only generating snippets.
• Works asynchronously: It runs in the cloud and can continue working after you leave your computer.
• Supports parallel work: Multiple Devins can work on separate tasks in isolated environments at the same time.
• Built-in testing: Devin can run applications, test changes with computer use, record results, and return evidence for review.
• Handles recurring tasks: Scheduled Devins can run regular QA checks, release tasks, and maintenance work automatically.
• Works across development environments: Devin can work with cloud environments and native Windows VMs, supporting different types of software projects.

• Usage costs can grow: Devin uses compute for autonomous work, and paid plans include usage quotas with additional costs depending on usage.
• Human review is still needed: Autonomous coding and testing can produce results that developers should inspect before merging or deploying.
• Some tasks need setup: Devin may need access to repositories, credentials, environment settings, or other project information before it can complete certain tasks.

• Software developers: Delegate feature development, bug fixes, refactoring, testing, and pull requests while continuing to work on other tasks.
• Engineering teams: Split larger projects across multiple Devins and run development tasks in parallel.
• QA teams: Automate application testing and receive recordings and other test results for review.
• Enterprise teams: Use Devin for code migration, refactoring, testing, maintenance, and other large engineering workflows.
• DevOps and maintenance teams: Schedule recurring checks, investigate issues, and automate routine engineering work.
• Teams working with legacy software: Use Devin for modernization and migration projects, including work on older codebases and Windows applications.