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Devin (Cognition AI)

Paid
ai software engineerautonomous agentcode generationsoftware developmentcognition aideveloper toolai agentdevinswe-bench

Devin is the world's first autonomous AI software engineer, designed to independently handle complex development projects from planning and coding to debugging and deploying full applications within its own environment.


Devin, by Cognition AI, represents a paradigm shift from AI code assistants to fully autonomous software engineering agents. It operates beyond simple code suggestion by taking high-level prompts and independently executing entire development lifecycles, using its own shell, code editor, and browser. Primarily built for engineering teams, Devin aims to automate complex workflows and accelerate project timelines by tackling tasks like bug fixes, feature implementation, and even learning new technologies from documentation. Its unique value proposition is its long-term reasoning and planning capability, allowing it to make thousands of decisions to complete a project, unlike any preceding tool. While still in a limited early access phase, its demonstrated ability to resolve real-world issues on the SWE-bench benchmark signals a new era for AI's role in software creation.

Pros

  • Demonstrates the ability to perform end-to-end engineering tasks from a single natural language prompt.
  • Achieved a 13.86% unassisted success rate on the SWE-bench benchmark, far surpassing previous state-of-the-art models.
  • Equipped with its own shell, code editor, and browser, allowing it to autonomously navigate and utilize the tools a human developer would.
  • Capable of learning unfamiliar technologies on the fly by reading documentation.
  • Can be used to audit and fix bugs in existing codebases and contribute to open-source projects.

Cons

  • Not publicly available; currently in a private, early access phase with a waitlist.
  • The full scope of its capabilities and limitations on truly novel, large-scale projects is still unknown.
  • As an autonomous agent, it has the potential to generate complex code that may be difficult for human engineers to maintain or debug.
  • Pricing model and eventual cost are not public, creating uncertainty for potential adopters.
  • Its high level of autonomy raises significant questions and concerns about the future role of human software engineers.

Key features

  • Autonomous task planning and execution
  • Integrated development environment (shell, code editor, browser)
  • End-to-end application development and deployment
  • Automated bug identification and resolution
  • Real-time status updates and human collaboration interface
  • Ability to learn from documentation and external sources
  • Context recall and long-term reasoning for multi-step tasks
  • Contribution to existing code repositories

Integrations

GitHubGitBash/ShellWeb BrowsersNetlifyAWSPython (pip)Node.js (npm)

Target audience

Software engineers, engineering teams, and CTOs seeking to automate development workflows, accelerate project completion, and delegate complex coding tasks to an AI agent.


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Founded

2023

Headquarters

San Francisco, USA

Pricing Tiers

Early Access

Limited early access to the Devin AI agent for select partner companies. Requires filling out a request form and approval from Cognition AI.

Contact for pricing


Frequently Asked Questions


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