AI software engineer that codes, fixes bugs, and ships features autonomously. Builds full applications end-to-end with minimal supervision.
AI software engineer that codes, fixes bugs, and ships features autonomously.
Devin is the world's first fully autonomous AI software engineer, built by Cognition. Unlike traditional code assistants like GitHub Copilot or Cursor that suggest completions inline, Devin independently plans, writes, debugs, and deploys entire software projects using its own sandboxed development environment complete with shell, code editor, and web browser.
The platform operates as a parallel cloud SWE (Software Engineering) agent. You assign tasks through Slack, Jira, Linear, or its web interface, and Devin works autonomously—breaking down requirements, writing code across multiple files, running tests, and submitting pull requests. It handles complex multi-step engineering workflows that would typically require hours of developer time. Cognition's founding team includes 10 International Olympiad in Informatics (IOI) gold medalists and builders from organizations like Cursor, Scale AI, Google DeepMind, Waymo, and Nuro, bringing deep expertise in both competitive problem-solving and applied AI.
Devin uses Agent Compute Units (ACUs) to measure work. One ACU roughly covers a single discrete task like fixing a bug, building a small website, or restoring a commit. ACUs reflect actual compute usage—idle time doesn't consume units, making the pricing model fair for tasks that require thought but not continuous execution. Recent updates have introduced the ability to schedule and manage multiple Devin agents simultaneously, autofix code review comments from pull requests, and modernize legacy systems including COBOL codebases at Fortune 500 companies. The platform is also available for government use cases through Cognition for Government.
The sandboxed environment provides a full development workspace with shell access, VS Code-style editor, and browser for testing, ensuring Devin can't accidentally modify production systems while working on tasks. Teams report 3-5x speedup on routine engineering tasks like framework migrations, batch bug fixes, CRUD application building, and MVP prototyping.
Compared to open-source alternatives like Aider or SWE-Agent, Devin offers a more polished, managed experience with enterprise features like SSO, hybrid deployment, and parallel agent execution. However, at $500/user/month for the Team plan, it represents a significant investment that's best suited for engineering teams with substantial backlogs of well-defined tasks.
Output quality varies on novel or architecturally complex work, and human review remains essential for production-critical code. The ACU-based pricing can escalate on complex tasks that require extended planning and debugging cycles.
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Devin is the first AI software engineer that works autonomously on full development tasks. Core plan starts at $20/month with limited compute credits. Compared to Copilot ($19/user/month) which assists coding, Devin attempts entire tasks independently. Strong on bug fixes and migrations, weaker on ambiguous feature work. Worth testing at $20/month for repetitive engineering tasks.
Devin operates in a fully isolated cloud workspace equipped with a shell, VS Code-style code editor, and web browser. This allows it to independently write code, install dependencies, run tests, and even browse documentation without risking changes to production systems. The sandbox replicates a real developer workstation, enabling Devin to handle the full development lifecycle from planning to pull request.
Teams can schedule and manage multiple Devin agents working in parallel on different tasks simultaneously. This allows engineering teams to distribute their backlog across several agents, dramatically increasing throughput for independent tasks. The scheduling system lets you queue work and have Devin agents pick up tasks automatically, functioning like an elastic pool of junior developers.
Devin can automatically address code review feedback left on pull requests, closing the review loop without requiring the original developer to context-switch back to the task. When reviewers leave comments requesting changes, Devin interprets the feedback, makes the appropriate modifications, and updates the PR. This reduces the back-and-forth cycles that often slow down code review processes.
Rather than requiring a separate interface, Devin accepts task assignments directly through tools teams already use—Slack messages, Jira tickets, or Linear issues. This lowers adoption friction and lets engineering managers assign work to Devin using the same workflow they use for human developers. Completed work is delivered as GitHub pull requests ready for review.
Devin is powered by Cognition's proprietary SWE-1.6 model, purpose-built for software engineering tasks including code generation, debugging, and multi-step planning. The model is continuously improved by Cognition's research team and is specifically optimized for agentic coding workflows rather than general-purpose language understanding. Updates to the model improve both code quality and the user experience of interacting with Devin.
$20/month
$500/month per user
Custom pricing
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