Getting Started - SWE-agent Documentation · HUMAN TECHNOLOGY eXCELLENCE

Imagine you are a developer working on an open-source project on GitHub. You need to quickly resolve a critical bug, but you don’t have the time to manually sift through the code for vulnerabilities. Or, imagine you are a researcher who wants to automate the process of identifying security vulnerabilities in a repository. In both cases, SWE-agent is the tool that can make a difference.

SWE-agent is an innovative project that allows language models to use tools autonomously to solve problems in GitHub repositories, find security vulnerabilities, or perform custom tasks. This tool is particularly relevant today, in a world where automation and artificial intelligence are becoming increasingly central to software development. Thanks to SWE-agent, you can let artificial intelligence do the heavy lifting, allowing you to focus on what really matters: creating quality software.

What It Does
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SWE-agent is a tool that allows language models to use tools autonomously to solve problems in GitHub repositories, find security vulnerabilities, or perform custom tasks. Think of it as a virtual assistant for developers, capable of acting autonomously and intelligently on GitHub repositories. SWE-agent was developed and maintained by researchers from Princeton University and Stanford University, which guarantees a high level of reliability and innovation.

The main focus of SWE-agent is its ability to operate autonomously, giving the language model maximum freedom. It is configurable via a single YAML file, making it easy to manage and customize. Additionally, it is designed to be simple and hackable, making it ideal for research and development. SWE-agent has been tested and verified on SWE-bench, a benchmark for evaluating the problem-solving capabilities of language models, demonstrating that it is at the forefront of open-source projects.

Why It’s Amazing
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Autonomy and Flexibility
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SWE-agent represents a significant step forward in the field of software development automation. Its ability to operate autonomously and generalizably makes it an extremely flexible tool. For example, a development team can use SWE-agent to automatically resolve the most common bugs in a GitHub repository, freeing up valuable time for developers. This is particularly useful in open-source projects, where code maintenance can be a time-consuming and arduous task.

Configurability and Documentation
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Another strength of SWE-agent is its configurability. Thanks to a single YAML file, it is possible to manage and customize the behavior of the tool in a simple and effective way. This makes SWE-agent suitable for both research projects and practical applications. For example, a researcher can configure SWE-agent to test new hypotheses on how to solve security problems automatically, while a developer can use it to improve code quality in a commercial project.

Concrete Results
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SWE-agent has demonstrated its effectiveness in various scenarios. For example, Mini-SWE-Agent achieved a 70% score on SWE-bench, verified in 1000 lines of Python code. This result was achieved thanks to the tool’s ability to process images from GitHub issues using AI models capable of vision. Additionally, SWE-agent has set records on SWE-bench on several occasions, demonstrating that it is a cutting-edge tool in the field.

Practical Applications
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SWE-agent is useful for a wide range of users, from developers to researchers. For example, a development team can use SWE-agent to automatically resolve the most common bugs in a GitHub repository, freeing up valuable time for developers. A researcher can configure SWE-agent to test new hypotheses on how to solve security problems automatically. Additionally, SWE-agent can be used to perform custom tasks, such as code analysis to identify vulnerability patterns.

To delve deeper into the features and goals of SWE-agent, you can consult the official documentation available at swe-agent.com. Here you will find user guides, practical examples, and detailed information on how to configure and use the tool. Additionally, you can explore related projects such as Mini-SWE-Agent, SWE-ReX, and SWE-smith to see how SWE-agent can be integrated into various software development contexts.

Final Thoughts
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SWE-agent represents a significant step forward in the field of software development automation. Its ability to operate autonomously and generalizably makes it an extremely flexible and powerful tool. In a world where automation and artificial intelligence are becoming increasingly central, SWE-agent offers a concrete solution to improve code efficiency and quality.

In conclusion, SWE-agent is a tool that can make a difference for developers and researchers. Its configurability, detailed documentation, and concrete results make it an ideal choice for anyone who wants to automate the process of solving problems in GitHub repositories. If you are a developer or a researcher, it is worth taking a look at SWE-agent and seeing how it can improve your workflow.

Use Cases
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Private AI Stack: Integration into proprietary pipelines
Client Solutions: Implementation for client projects
Development Acceleration: Reduction of time-to-market for projects

Resources
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Original Links
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Getting Started - SWE-agent documentation - Original link

Article suggested and selected by the Human Technology eXcellence team, elaborated through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2026-01-19 11:04 Original source: https://swe-agent.com/latest/

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What It Does #

Why It’s Amazing #

Autonomy and Flexibility #

Configurability and Documentation #

Concrete Results #

Practical Applications #

Final Thoughts #

Use Cases #

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Introduction
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