Devin
Devin is Cognition's autonomous cloud software engineer experience: you assign work from tools like Slack, GitHub or Linear, and the agent operates in an isolated environment before opening a pull request for humans to review.
Best for Teams adopting an autonomous software-engineering agent for multi-step coding work
- Starts at
- $20/month flat
- Free plan
- Yes
- Price checked
- 2026-10-21
Pricing
Price checked: 2026-10-21. Source: official pricing page.
Free plan: Light quota to code with agents; limited model availability; unlimited inline edits; unlimited Tab completions
| Plan | Monthly | Annual (per month) | Billing unit | Notes | Source |
|---|---|---|---|---|---|
| Free | $0 | Not listed | flat | Individual plan | Source |
| Pro | $20 | Not listed | flat | Increased quotas; frontier models; Free use of SWE-2; Devin Cloud; purchase extra usage at API pricing | Source |
| Max | $200 | Not listed | flat | Everything in Pro plus significantly higher quotas | Source |
| Teams | $80 | Not listed | flat | $80/month for team plan + $40/mo per full dev seat; up to 200 users; comparison table also shows Team $80/month and $40/month per full user | Source |
| Enterprise | Not listed | Not listed | flat | Let's talk / Get a Demo; SSO, dedicated support, VPC option | Source |
"Not listed" means the official page shows no list price for that billing period (often contact sales). We never fill gaps from third-party sites.
Overview
Newer workflows also target incident investigation and similar ops-adjacent engineering chores where a long-running agent can gather context. It complements Devin Desktop rather than replacing local IDEs entirely—cloud agents handle the longer jobs while developers keep ownership of merges. Work is delegated asynchronously, so teams get the most from it when tickets are well scoped and carry clear acceptance criteria. Limitation: long-running autonomous sessions can still produce wrong or partial changes, and they need repository and tool access that security teams should scope tightly. Mandatory code review and CI remain part of the operating model.
Key features
- Cloud coding agent that returns pull requests for review
- Task intake from Slack, GitHub, Linear or desktop
- Sandbox execution for longer engineering assignments
Limitations
Autonomous runs can return wrong or partial fixes, so agent PRs still need human review and CI, and repository access should be scoped to each task.