{
  "id": 9256650,
  "title": "SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving",
  "url": "https://urgent.news/2026/09/22/swe-serve-benchmarking-agentic-engineering-for-production-inference",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T17:54:59.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.26777v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We introduce SWE-Serve, a benchmark for evaluating agents on production inference engineering tasks. Implementing an inference feature can require coordinating multiple changes across the serving stack, including model support, runtime execution, and public APIs. Existing benchmarks provide limited coverage of production inference engineering: repository-level software engineering benchmarks do…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}