Master SWE-agent with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Visit GitHub.com/SWE
agent and clone the repository to your local machine Install Python
8+ and required dependencies using 'pip install
r requirements.txt' in the cloned directory Configure your language model API key (OpenAI, Anthropic, etc.) in the configuration file Test the installation by running SWE
agent on a simple GitHub issue using the provided command
line interface Review the documentation at swe
agent.com for advanced configuration and usage patterns
💡 Quick Start: Follow these 7 steps in order to get up and running with SWE-agent quickly.
SWE-agent supports multiple programming languages including Python, JavaScript, Java, C++, and others, with the specific language support depending on the underlying language model being used.
Unlike general-purpose coding assistants, SWE-agent is specifically designed for repository-level understanding and issue resolution, achieving state-of-the-art results on academic benchmarks for real-world GitHub issue solving.
While SWE-agent shows impressive benchmark performance, it's recommended to thoroughly test and review all changes in a development environment before applying to production systems.
Now that you know how to use SWE-agent, it's time to put this knowledge into practice.
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Tutorial updated March 2026