Devin is Cognition’s autonomous software engineering agent that takes on issues end to end, from planning and coding to testing and opening pull requests.
Devin became famous as the first AI software engineer to work like a junior teammate: give it an issue and it plans, writes code, runs tests, fixes failures and submits a PR, working in its own sandbox with a shell, editor and browser. It handles migrations, bug fixes and feature work with minimal supervision.
Devin pairs with your repositories, Slack and issue tracker, so it can be assigned work where your team already communicates. Teams book Devin sessions like capacity, reviewing its pull requests and steering it when needed, and the product has evolved toward tighter collaboration between human engineers and fleets of agents. Because Devin works from issues your team already tracks, it slots into existing workflows rather than demanding new ones. Reviewing its pull requests also tends to sharpen team standards, since reviewers articulate conventions explicitly.
Devin is sold through subscription plans that bundle agent ACU (agent compute units) usage, with tiers for individuals, teams and enterprises. Heavy parallel use consumes units quickly, so plans are sized to the number of active sessions. Plan-based pricing suits capacity budgeting, and teams typically size sessions to their backlog volume rather than paying per commit.
Devin is for engineering teams that want extra autonomous capacity for well-scoped tasks: bug queues, migrations, test writing and backlog features. It works best with clear issues and strong review practices. It also helps smaller teams punch above their weight on maintenance work that would otherwise eat into feature development.
Devin is a paid product with plan-based access rather than a free tier, reflecting the compute cost of long autonomous sessions. Trials are available for evaluation.
Devin integrates through webhooks, Slack and repository connections, and enterprise plans offer programmatic control for triggering sessions and retrieving results.
Devin is more autonomous than in-editor assistants, taking whole tasks rather than pairs with you. That autonomy trades fine-grained control for capacity, so many teams use Devin for backlog work while keeping interactive agents for core development. Devin is best for well-scoped backlog work; for core architecture and delicate changes, interactive agents keep humans more firmly in the loop.