Devin
Cognition's AI software engineer agent that works semi-autonomously in its own sandbox on coding tickets and opens pull requests for review.
About Devin
Devin, from Cognition Labs, is marketed as an AI software engineer: you assign it a coding task — a bug fix, a small feature, a dependency upgrade — and it works in its own sandboxed environment with its own shell, code editor, and browser, planning and executing the steps needed, then opening a pull request for a human to review. It integrates with GitHub, Slack, and Linear so it can fit into an existing team's workflow rather than requiring a separate tool. There's no free tier; usage is billed via "ACUs" (Agent Compute Units) starting around $20/mo for a limited allowance, and complex or long-running tasks can consume credits quickly. Devin works best on well-scoped, clearly defined tasks — ambiguous or very large tasks still benefit from human breakdown first, and all output should go through normal code review before merging.
Pros
- ✓Handles multi-step engineering tasks with less hand-holding
- ✓Works in an isolated sandbox with its own tools
- ✓Integrates with GitHub, Slack, and Linear
- ✓Opens PRs for normal human review
Cons
- ×No free tier; usage-based ACU pricing can get expensive
- ×Best suited to well-scoped tasks
- ×Output still requires careful human review
Use Cases
Bug fixes and small features
Dependency upgrades
Routine engineering tickets
Codebase maintenance tasks
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Tags
From $20/mo
paid