Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization
Large language models and AI agents have recently shown promise in automating software performance optimization, but existing approaches predominantly rely on local, syntax-driven code transformations. This limits their ability to reason about program behavior and capture whole system performance interactions. As modern software increasingly comprises interacting components - such as microservices, databases, and shared infrastructure - effective code optimization requires reasoning about program structure and system architecture beyond individual functions or files. This paper explores the feasibility of whole system optimization for microservices. We introduce a multi-agent framework th...
| Authors | Huiyun Peng, Parth Vinod Patil, Antonio Zhong Qiu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 16 March 2026 |
| Last updated at source | 16 March 2026 |
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