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📚 Misc
⭐️ Research Strategy
Achieving full replication of production-grade applications with LLMs is a complex endeavor. Our strategy involves:
- Core Technical Research: Focusing on foundational research to understand and improve the technical aspects of code generation and handling.
- Specialist Abilities: Enhancing the effectiveness of core components through data curation, training methods, and more.
- Task Planning: Developing capabilities for bug detection, codebase management, and optimization.
- Evaluation: Establishing comprehensive evaluation metrics to better understand and improve our models.
🚧 Default Agent
- Our default Agent is currently the MonologueAgent, which has limited capabilities, but is fairly stable. We're working on other Agent implementations, including SWE Agent. You can read about our current set of agents here.
🤝 How to Contribute
OpenDevin is a community-driven project, and we welcome contributions from everyone. Whether you're a developer, a researcher, or simply enthusiastic about advancing the field of software engineering with AI, there are many ways to get involved:
- Code Contributions: Help us develop the core functionalities, frontend interface, or sandboxing solutions.
- Research and Evaluation: Contribute to our understanding of LLMs in software engineering, participate in evaluating the models, or suggest improvements.
- Feedback and Testing: Use the OpenDevin toolset, report bugs, suggest features, or provide feedback on usability.
For details, please check this document.
🤖 Join Our Community
Now we have both Slack workspace for the collaboration on building OpenDevin and Discord server for discussion about anything related, e.g., this project, LLM, agent, etc.
If you would love to contribute, feel free to join our community. Let's simplify software engineering together!
🐚 Code less, make more with OpenDevin.
🛠️ Built With
OpenDevin is built using a combination of powerful frameworks and libraries, providing a robust foundation for its development. Here are the key technologies used in the project:
Please note that the selection of these technologies is in progress, and additional technologies may be added or existing ones may be removed as the project evolves. We strive to adopt the most suitable and efficient tools to enhance the capabilities of OpenDevin.
📜 License
Distributed under the MIT License. See our license for more information.