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AI Summary: Introduces a role based multiagent framework that significantly improves autonomous software engineering capabilities by using specialized workers to plan and code.

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Swarm Optimization for Software Engineering: A Multiagent Approach

Yiming Zhang·
Karthik Narasimhan·
Shunyu Yao

ABSTRACT

Single model coding assistants frequently fail when confronted with repository level refactoring and complex architectural planning. We propose a framework that deploys a specialized hierarchy of digital workers to collaboratively navigate software repositories. By implementing a novel consensus driven debugging loop our system achieves record resolution rates on standard engineering benchmarks. This paper demonstrates that structured role based communication is essential for scaling autonomous software development.

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