
The AI Software Engineer That Codes Autonomously
Devin is an autonomous AI software engineer developed by Cognition Labs that can independently plan, write, debug, test, and deploy code. It operates within a sandboxed environment equipped with a shell, code editor, and browser, enabling end-to-end development workflows. Devin learns from your codebase patterns over time, integrates with tools like Jira, Linear, and GitHub, and can run multiple concurrent sessions. Engineering teams use it to automate repetitive coding tasks, security fixes, code migrations, and boilerplate development — functioning as a collaborative AI teammate rather than just a code completion tool.
Plans, writes, debugs, and deploys code independently with long-term reasoning capabilities across complex tasks.
Built-in shell, code editor, and browser for end-to-end task execution in isolated virtual machines.
Agent-native IDE for reviewing Devin's work, collaborating on tasks, and creating reusable playbooks.
Learns your codebase patterns and team conventions over time, improving output quality with continued use.
Generates PRs with code changes, test results, and documentation with a reported 67% merge rate.
Connects with Jira, Linear, Slack, and GitHub for seamless workflow integration.
Run multiple Devin instances simultaneously across different repositories for concurrent development.
Assign bug tickets from Jira or Linear and let Devin investigate, fix, and submit PRs with test coverage.
Automate framework upgrades, language migrations, and dependency updates across large codebases.
Rapidly identify and fix security vulnerabilities with automated scanning and patch generation.
Generate repetitive code patterns, API endpoints, CRUD operations, and project scaffolding automatically.
Programmatic access for CI/CD pipeline integration and automated workflow triggers.
Use Devin to review PRs, suggest improvements, and catch potential issues before human review.

The world's first agentic AI IDE