Devin (Cognition)
An AI software engineer that works both in your editor and in the cloud — completing code as you type, and taking whole tickets through to a pull request you review.
Visit official site →What is Devin (Cognition)?
Cognition has repositioned this significantly: what launched as an expensive cloud-only agent now ships as Devin Desktop, with a free tier, unlimited tab completions, and Pro at $20 a month. Cognition's own SWE models run free of quota on paid plans. The cloud side still exists - agents that take a ticket and return a pull request - but you need enough engineering judgment to review unfamiliar code, and enough test coverage to catch what slips through. Try the free tier on a repo you know well.
Three things Devin (Cognition) does best
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A free tier that actually exists
The Free plan costs nothing and includes unlimited Tab completions and unlimited inline edits in Devin Desktop, with a light agent quota and a limited model list. Pro at $20 unlocks frontier models from OpenAI, Anthropic, and Google plus cloud agents.
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Takes tickets straight from your tracker
Devin connects to Linear and Jira, Slack and Teams, and GitHub, GitLab, or Bitbucket, so work can start from a ticket or a chat message instead of your editor. Pro and Max run up to 10 concurrent sessions; Team and Enterprise remove that cap.
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Builds a map of your codebase
DeepWiki generates browsable documentation of a repository, and Ask Devin answers questions about it, which is the part that pays off on code nobody on the team wrote. The Devin API lets you trigger agents from your own scripts; Enterprise adds VPC deployment and SSO.
Devin (Cognition) has a free plan, so the fastest way to judge it is to try it on one real task.
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Software Engineer
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Backend Developer
Builds the server-side logic, APIs, and data layers that power applications.
DevOps Engineer
Automates and maintains the infrastructure and pipelines that ship and run software.
Skills you can build with Devin (Cognition)
System Design
When AI writes the code, the upstream power to decide what to build. Hard to replace and rising in demand.
AI Agent Orchestration
AI is shifting from chatbots to agents that execute multi-step work. The people who can design, direct, and quality-control those agents become the leverage point.
Cloud Computing
Every AI workload runs on cloud infrastructure. As global cloud spending soars past $700 billion, people who can architect, secure, and optimize it stay scarce.