{
  "id": 18228,
  "title": "ORCA-bench: How Ready Are Language Model Agents for Oncall?",
  "url": "https://urgent.news/2026/07/30/orca-bench-how-ready-are-language-model-agents-for-oncall",
  "topic": "science",
  "section": "Science",
  "published": "2026-07-30T17:14:07.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2607.28545v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models can write, patch, and search code, but oncall root cause analysis (RCA) demands something different: reasoning over noisy metrics, logs, traces, and source code, starting from ambiguous user-facing reports, often hours after the incident began. We introduce ORCA-bench, a benchmark that puts general-purpose coding agents in a production-fidelity oncall setting. ORCA-bench…",
  "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."
}