Yanze Zhang, Maggie Yongqi Guan, Shudong Liu, Qi Hao, Kanye Ye Wang, Meng Qu, Xiaobo Zhou · 2026 · arXiv
DOI: 10.48550/arXiv.2610.29695 · open-access PDF
编码代理正在成为自动化软件工程任务的一种日益重要的范式,但现有的编码基准主要在函数或存储层面对代理进行评估,使其在更复杂的分布式软件系统中的能力在很大程度上未被探索。在实践中,许多现代应用采用了微服务架构,其中端到端性能来自于多个独立运行服务之间的相互作用,需要代理商在本地代码变化之外进行推理。
Machine translation (Meta M2M100); the English original follows.
Coding agents are becoming an increasingly important paradigm for automating software engineering tasks. However, existing coding benchmarks primarily evaluate agents at the function or repository level, leaving their capabilities in more complex distributed software systems largely unexplored. In practice, many modern applications adopt microservice architectures, where end-to-end performance emerges from interactions among multiple independently running services, requiring agents to reason beyond local code changes. To study this capability, we introduce MicroPerf-Bench, a benchmark for eval
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