Devin
Also known as: Devin AI, Cognition Devin, Devin software engineer
Devin is an autonomous AI software engineer by Cognition AI, marketed as the first AI agent capable of completing end-to-end software engineering tasks independently. Devin works in a fully isolated cloud environment equipped with a shell, code editor, and browser. It can plan and execute complex, multi-step engineering tasks — from cloning a repo and writing code to deploying applications and fixing bugs — with minimal human intervention. Devin is accessible via web, Slack integration, and a VS Code extension.
Agent Information
- Provider
- Cognition AI
- Supported IDEs
- Browser, Slack, VS Code (remote)
Feature Support Matrix
| Feature | Support Level | Details |
|---|---|---|
| Execution | ||
| Automatic Context Awareness | ✅ Full Support | Devin clones the full repository into its cloud environment and autonomously explores the codebase to understand archite... |
| Filesystem Access | ✅ Full Support | Devin has full filesystem access within its cloud sandbox environment. It can create, read, update, and delete any files... |
| MCP Server Support | ❌ No Support | Devin does not support MCP (Model Context Protocol) servers. It has its own tool ecosystem (shell, browser, editor) with... |
| Editor Integration | ||
| Broad IDE Integration | ⚠️ Partial | Devin is primarily a web-based agent (devin.ai dashboard). It also has a VS Code extension for observing and interacting... |
| Model Support | ||
| Claude 4 Support | ❌ No Support | Devin uses Cognition AI's proprietary models. It does not support Anthropic's Claude Sonnet 4.6 or Claude Opus 4.6 model... |
| Claude 3 Support | ❌ No Support | Devin uses Cognition AI's proprietary internal models and does not support Claude 3 or any Anthropic model family. |
| Context Window Management | ✅ Full Support | Devin maintains persistent context across a full session, including shell history, code changes, test results, and brows... |
| Debugging | ||
| Console Error Integration | ✅ Full Support | Devin has access to a cloud browser in its sandbox and can observe browser console errors while testing web applications... |
| Interactive Element Selection | ❌ No Support | Devin can interact with web UIs via its cloud browser (clicking, filling forms), but this is for task completion purpose... |
| Live Web Preview | ✅ Full Support | Devin can start web application servers in its sandbox and take screenshots or interact with the running app via its clo... |
| Configuration | ||
| Dedicated Instruction File | ⚠️ Partial | Devin reads project README and documentation as part of its setup. You can also provide persistent instructions to Devin... |
| Fine-Grained Instruction Control | ⚠️ Partial | Devin's Playbooks system allows defining reusable instructions for specific types of tasks. However, there is no file-pa... |
| Supports Scoped Instructions | ⚠️ Partial | Devin's Playbooks allow task-type-level instruction scoping, but not directory or file-pattern scoping. Different Playbo... |
| Planning | ||
| Planner Strategy | ✅ Full Support | Devin generates a detailed plan before starting implementation, showing it to the user in the session dashboard. The use... |
Frequently Asked Questions
Devin is described as an autonomous AI software engineer. Unlike pair programmers (Copilot, Cursor) that assist while you code, Devin works independently to complete full engineering tasks: setting up environments, writing and testing code, debugging, and deploying. It operates in a cloud sandbox with its own shell, browser, and editor, and reports back when the task is done.
Cognition AI has not publicly disclosed which underlying model(s) power Devin. Cognition has trained Devin using reinforcement learning on software engineering tasks, and the system may use a combination of proprietary fine-tuned models and external LLMs.
Devin uses a session-based pricing model. As of early 2026, pricing is approximately $500/month for a Teams plan that includes a set number of agent compute units (ACUs) representing task runtime. Enterprise pricing is available. A free trial is offered. See devin.ai for current pricing.
Devin can handle: setting up codebases from scratch, implementing features end-to-end, fixing bugs from issue descriptions, writing and running tests, deploying to cloud providers, refactoring code, updating dependencies, writing documentation, and completing tasks from GitHub issues or Jira tickets.
Devin clones your repository into a private cloud environment and has access to a terminal, code editor, and browser. It can run commands, install packages, write code, run tests, and browse documentation. You observe its progress in real time via a session dashboard and can intervene or provide feedback at any point.
Yes. Devin integrates with Slack, allowing team members to assign tasks to Devin directly from Slack messages. Devin reports progress and asks clarifying questions in the Slack thread.
Yes. Devin integrates with GitHub to work on issues and pull requests directly. It can also connect to Jira to pick up tickets and implement the requested changes. These integrations allow Devin to work asynchronously on your backlog.
Devin runs in isolated cloud environments (one per session) with no cross-session data sharing. Cognition AI uses encrypted credential storage and does not retain repository code after sessions end. Enterprise plans include additional compliance controls.
Yes. Devin has access to a cloud browser in its sandbox environment. It uses this to read documentation, search for solutions, look up API references, and navigate to any web resources needed to complete a task.
Devin performs best on self-contained tasks with clear requirements. It can struggle with deeply ambiguous tasks requiring business context, tasks requiring persistent human decisions mid-stream, proprietary internal tools it has no documentation for, and very large tasks beyond 4-8 hours of human effort. Human review of all PRs before merging is strongly recommended.