SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Authors: John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
Abstract: Software engineering is a challenging task requiring proficiency in both code generation and interacting with computers. In this paper, we introduce SWE-agent, an autonomous system that uses a language model to interact with a computer to solve software engineering tasks. We show that a custom-built agent-computer interface (ACI) greatly enhances the ability of an agent to create and edit code files, navigate entire repositories and execute programs. On SWE-bench, SWE-agent is able to solve 12.5% of issues, compared to the previous best of 3.8% achieved with retrieval-augmented generation (RAG). We explore how ACI design impacts an agent's behavior and performance, and provide insights on effective design.
Explore the paper tree
Click on the tree nodes to be redirected to a given paper and access their summaries and virtual assistant
Look for similar papers (in beta version)
By clicking on the button above, our algorithm compares the title and abstract of this paper with all the papers of the same arXiv category that we have summarized, and finds the closest ones. You can rerun it from time to time: the results improve as our database grows.