Devin AI
cognition.ai
Autonomous AI software engineer developed by Cognition
Description
Cognition operates Devin, the first autonomous software engineer. · Cognition operates Devin, the first autonomous software engineer. Devin plans, writes, tests, and ships production code inside your existing workflows. · Join the team
Devin AI is a groundbreaking artificial intelligence system designed to function as a fully autonomous software engineer. Developed by Cognition, Devin can independently handle complex coding tasks, from writing and debugging code to building and deploying entire applications. It utilizes advanced natural language processing and machine learning algorithms to understand project requirements, plan solutions, and execute them with minimal human intervention. Devin sets a new standard in AI-assisted software development, significantly outperforming previous models on benchmarks like SWE-bench and demonstrating the ability to learn and adapt to new technologies.
Features
Fast Agent Model (SWE-1.5)
Automated Code Understanding (Codemaps)
Intelligent Context Retrieval (SWE-grep)
Automated Codebase Migration
AI Data Analyst Capabilities
Custom AI Analyst Creation
Large-Scale CI/CD Migration
Use cases
Rapid prototyping of software applications, Automating routine coding tasks and bug fixes, Assisting in open-source project development, Training and fine-tuning AI models for specific tasks, Building and deploying web applications independently, Conducting code reviews
FAQ
Devin AI is an autonomous AI software engineer developed by Cognition Labs. It can plan, write, test, debug, and deploy code with minimal human intervention. Devin works within a sandboxed environment that includes a shell, code editor, and browser, allowing it to execute end-to-end software tasks.
Devin uses advanced machine learning models trained on vast programming data. It interprets natural language instructions, breaks them into coding tasks, writes code, runs tests, and integrates with development tools. Devin operates in a sandboxed workspace, enabling it to run code, debug, and submit pull requests without affecting your local machine.
Devin excels at small, well-scoped tasks (bug fixes, refactors, documentation, small features), tackling tasks that typically take less than 30 minutes, improving test coverage and addressing lint/static analysis errors, reproducing and fixing bugs, writing unit tests, PR reviews, building internal tools and integrations, and prototyping solutions.
Devin struggles with ambiguous or poorly defined specifications, large, unindexed codebases, multi-service changes without clear guidance, and tasks that require deep domain knowledge or creative design.
To get started with Devin AI, you need to sign up for a Teams account at app.devin.ai, connect your GitHub, GitLab, or other source code provider, add your repository to Devin, allow Devin to automatically index your codebase, and then use the Devin interface to ask questions, plan tasks, or assign coding jobs.
Ask Devin is a feature that allows you to ask detailed questions about your codebase. Devin can explain how code works, explore architecture, dependencies, and key functions, and help you plan and scope tasks.
Devin Search enables you to ask questions about your codebase and get detailed answers with cited code, while DeepWiki automatically generates comprehensive documentation, architecture diagrams, and direct links to sources for your codebase.
Devin reports progress in real time, accepts feedback, and can pause to ask clarifying questions. It works alongside developers, making it a collaborative tool rather than a fully autonomous replacement.
Yes, you can customize Devin's behavior using Knowledge for reusable instructions and playbooks, DeepWiki for project-specific documentation, and the API to automate workflows, connect issue trackers, and script flows.
Devin AI operates on a pay-as-you-go model for the Core plan, with usage tracked in ACUs (AI Compute Units). You can set limits and monitor consumption in the Settings > Usage & Limits section.
The recommended workflow for using Devin AI includes adding your repository to Devin, letting Devin index your codebase, using Ask Devin to explore and plan tasks, assigning Devin small, well-scoped tasks, and reviewing and providing feedback on Devin’s output.
Devin operates in a sandboxed environment, ensuring that its actions do not affect your local machine or production systems. All code execution and testing happen within this secure workspace.
Specs
| Type | Agent |
| Section | AI agents |
| Pricing | paid (от $0/mo) |
| Platform | Web only |
| Systems | web |
| Who for | Startup |
| Site language | en |
| Rating | 4.40 (0 reviews) |
| Views | 93 741 |
| Launched | 2024-07-08 |
