SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
Han Li, Yuling Shi, Shaoxin Lin, Xiaodong Gu, Heng Lian, Xin Wang, Yantao Jia, Tao Huang, Qianxiang Wang
2025-08-04
Summary
This paper talks about SWE-Debate, a new system that uses multiple AI agents competing with each other to solve software problems by sharing different ideas and approaches.
What's the problem?
The problem is that software issue resolution is often tough because a single method may miss important details or make mistakes, leading to less effective problem-solving and fixing.
What's the solution?
SWE-Debate solves this by having multiple AI agents debate and challenge each other’s ideas, encouraging diverse reasoning that helps find errors more accurately and plan better fixes for software issues.
Why it matters?
This matters because it improves how quickly and accurately software problems get fixed, making software more reliable and saving time and effort for developers.
Abstract
SWE-Debate, a competitive multi-agent framework, enhances issue resolution in software engineering by promoting diverse reasoning and achieving better issue localization and fix planning.