arXiv: cs.AI preprintsInternational5 November 2026
ServerBench: How can your coding agents design specialized LLM serving systems?
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arXiv:2611.06841v1 Announce Type: new Abstract: Large language model (LLM) coding agents develop software through experimentation, offering an opportunity to design the serving systems supporting their own operation. Effective serving requires coordinating implementation and operating decisions under session dependencies, latency constraints, and correctness requirements. We introduce ServerBench, a benchmark for agentic design of complete, specialized LLM serving systems. Agents experiment against a common objective, dollars per dollar: latency-qualified token value per dollar of GPU cost. St
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