Devin

Devin is Cognition’s coding-agent product for interactive and delegated software work. Current documentation describes a conversational interface with an embedded IDE and developer tools, a terminal client for local code exploration and quick changes, and cloud Devin sessions for longer tasks. A terminal session can be handed off to the cloud, while web, Slack, and Microsoft Teams workflows can be used to delegate work and return to draft pull requests for review. Devin is a commercial product spanning local desktop and terminal clients plus a hosted cloud-agent service. No canonical open-source product repository or public software license was identified.

The pricing page lists individual Free, Pro, and Max plans, Teams pricing, and a contact-sales Enterprise option. Free access has a limited quota and model selection; paid plans increase quotas, model access, cloud-agent access, or team administration. Devin Desktop is available for macOS, Windows, and Linux, while Devin for Terminal provides a command-line workflow alongside Devin Cloud.

Top features

• Conversational coding interface with an embedded IDE where developers can inspect progress and take over work.
• Cloud sessions for delegated tasks that can continue independently and return proposed code or draft pull requests.
• Devin Desktop for macOS, Windows, and Linux, plus Devin for Terminal for local repository exploration and quick fixes.
• Handoff from a terminal workflow to cloud Devin when a task needs longer execution.
• Integrations with Slack and Microsoft Teams for assigning work from engineering discussions.
• API access for programmatic session and workflow integration.
• Workflows for tests, documentation, bug reproduction, migrations, integrations, codebase questions, and pull-request review.
• Team and enterprise controls for collaboration, billing, identity, support, and deployment options.

Use cases

• Delegate a well-scoped bug or maintenance task and review the resulting draft pull request.
• Explore a repository locally in the terminal, then hand a longer implementation to a cloud session.
• Parallelize repetitive migration or refactoring subtasks after establishing examples and review criteria.
• Ask codebase questions, write tests, maintain documentation, or prototype an integration with an unfamiliar API.
• Route a bug discussion from Slack or Teams into a coding task while keeping human review before merge.