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Devin AI

The world's first fully autonomous AI software engineer capable of planning and executing complex engineering tasks.

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Categories

Coding Productivity

Best For

Developers Engineering Teams Software Engineers

Pricing

Platform

Web

Developer

Cognition

Overall Rating

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About Devin AI

Devin is an autonomous AI software engineer developed by Cognition. Unlike standard coding assistants that suggest snippets, Devin is designed to plan and execute entire engineering tasks from start to finish. It has its own command line, code editor, and web browser, allowing it to function independently.

The tool can learn how to use unfamiliar technologies, debug its own code, and contribute to mature production repositories. Users interact with Devin via a chat interface where they can follow its progress in real-time, step-in to provide feedback, or let it work autonomously on long-term projects.

Key Features

  1. Autonomous Planning: Can plan and execute complex engineering tasks requiring thousands of decisions.,
  2. Integrated Tooling: Equipped with a shell, code editor, and browser within a sandboxed environment.,
  3. Self-Healing: Ability to debug code and fix errors as they arise during execution.,
  4. Real-time Collaboration: Users can watch Devin work, view command outputs, and interrupt if necessary.,
  5. Learning Capability: Can read documentation to learn new technologies and frameworks on the fly.

Use Cases

  1. End-to-end application development from a single prompt.,
  2. Automatically finding and fixing bugs in existing codebases.,
  3. Maintaining and migrating legacy code.,
  4. Training and fine-tuning AI models.

How to Use

  1. Request access via the waitlist on the website (currently in early access).,
  2. Provide a prompt describing the engineering task or issue.,
  3. Monitor Devin's plan and execution in the dashboard.,
  4. Review the pull request or code generated upon completion.

Pros

  1. Capable of handling entire projects rather than just snippets.,
  2. Reduces context switching by handling environment setup and testing.,
  3. Shows high performance on SWE-bench benchmarks.

Cons

  1. Currently in limited access/waitlist phase.,
  2. High demand may lead to access delays.

Tags

AI Software Engineer Autonomous Agent Coding Assistant Debugging Developer Tool

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