Devin is an AI software engineering agent from Cognition that can plan and execute engineering tasks including feature development, bug fixing, migrations, refactoring, testing, documentation, and pull request workflows.

Can Devin work on multiple repositories and tasks in parallel?

Yes. Devin is designed for engineering teams with complex multi repository projects and can use multiple Devin agents to work on larger tasks in parallel.

How can developers start or assign work to Devin?

Devin can participate in workflows through GitHub, Linear, Slack, Microsoft Teams, Devin Automations, the Devin API, Devin CLI, and Devin Cloud. Tasks can also be scheduled through Devin Automations.

Devin

AI software engineering agent for planning and executing coding tasks, fixing bugs, creating pull requests, testing software, handling migrations, and automating engineering workflows.

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About Devin

Devin is an AI software engineering agent from Cognition designed to plan and execute software development work. It can handle engineering tasks including application development, bug investigation and fixing, code migrations, refactoring, testing, documentation, performance optimization, issue triage, and pull request workflows.

Devin can work across complex and multiple repositories, create pull requests, respond to review feedback and CI results, and retain approved knowledge about a codebase. Engineering teams can also run multiple Devin agents in parallel for larger projects. Devin can use past session trajectories to improve its understanding of ongoing work.

Tasks can be assigned through environments including GitHub, Linear, Slack, Microsoft Teams, the Devin API, and Devin Automations. Devin also provides local workflows through Devin CLI, where developers can work with their repository and shell and hand a session to Devin Cloud to continue running remotely. Devin Desktop provides an environment for planning, delegating, monitoring, reviewing, and managing local and cloud coding agents.

Key Features

Autonomous Engineering Work: Plans and executes software engineering tasks including feature development, bug fixing, migrations, refactoring, testing, and documentation.
Pull Request Workflow: Creates pull requests and can respond to code review feedback and CI results as work progresses toward approval and merge.
Multi Agent Execution: Can use multiple Devin agents for large engineering projects and parallel work across repositories.
Knowledge and Context: Can learn approved codebase knowledge and use information from previous session trajectories when working on future tasks.
Multiple Triggers and Interfaces: Work can originate from GitHub, Linear, Slack, Microsoft Teams, Devin Automations, the Devin API, Devin CLI, and other supported workflows.
Local and Cloud Workflows: Devin CLI runs against the developer's local repository, shell, and credentials, while tasks can be handed off to Devin Cloud for continued execution.

Pricing

Contact the sales team for pricing information.

Use Cases

Implementing software features from specifications
Investigating and fixing bugs, CI failures, and production incidents
Performing code migrations and refactoring across multiple repositories
Automating recurring engineering work such as QA, release notes, documentation, and issue handling

Pros & Cons

Pros:

Supports end to end engineering workflows including coding, testing, pull requests, review feedback, and CI results.
Can run multiple agents in parallel for large or multi repository engineering projects.
Supports developer workflows across GitHub, Linear, Slack, Microsoft Teams, APIs, automations, local CLI sessions, and cloud execution.

Cons:

Integrations

GitHub, Linear, Slack, Microsoft Teams, Datadog, Confluence, Airtable, Segment, Asana, Notion, Stripe, AWS, Databricks, Google Drive, Sentry, PostgreSQL, Azure, Snowflake, MongoDB, MCP servers, Devin API