{
  "id": 3875502,
  "title": "From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench",
  "url": "https://urgent.news/2026/08/27/from-static-to-dynamic-benchmarking-real-world-code-review-with-mcr",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T17:56:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.27442v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "In real-world software development, code review typically involves iterative interactions between developers and reviewers to improve software quality, making the process costly and time-consuming. Although recent work explores large language models (LLMs) for automated code review, most approaches oversimplify code review into a single-round, static decision task, which fails to capture the…",
  "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."
}