SWE-agent

What is SWE-agent?

SWE-agent is a tool that transforms language models (LMs) like GPT-4 into agents capable of fixing issues in real GitHub repositories, solving coding challenges, and even cracking offensive cybersecurity challenges using the EnIGMA mode. It allows for extensive tweaking without the need to modify the code, offering a high level of configurability. Users can delve into the project goals, academic research, code development, and learn how to modify SWE-agent behavior. With SWE-agent, users can explore building their own agents through the provided development information, making it a versatile tool for various tasks such as coding, cybersecurity, and more.

Who created SWE-agent?

The SWE-agent was created by the team at Princeton University's Natural Language Processing Group. The project is hosted on GitHub under the repository name "princeton-nlp/SWE-agent." The repository has gained popularity with 13.7k stars and 1.4k forks.

How to use SWE-agent?

To use SWE-agent effectively, follow these steps:

1. Installation: There are three ways to get started with SWE-agent, including a method to run it without installation in your browser. You can find detailed instructions on installation in the provided link.

2. Usage: Explore tutorials, tips, and tricks to make the most out of SWE-agent. This section will guide you on how to effectively utilize the tool for various tasks like fixing issues in GitHub repositories, solving coding challenges, and cracking offensive cybersecurity challenges using the EnIGMA mode.

3. Configuration: SWE-agent can be extensively tweaked without modifying the code. Learn how to modify SWE-agent behavior efficiently to suit your specific requirements. This section provides insights into customizing the tool to enhance its performance.

By following these steps, you can effectively utilize SWE-agent for various tasks and customize it according to your needs.