{
  "id": 8148338,
  "title": "AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair",
  "url": "https://urgent.news/2026/09/17/adarepair-mem-adaptive-experience-orchestration-for-repository-level",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-17T12:23:22.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.20130v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Recent memory-augmented repository-level program repair methods reuse historical repair experiences to improve LLM-based issue resolution. However, our analysis reveals three limitations in existing repository-level memory retrieval. First, episodic memory is highly imbalanced across repositories, leaving low-resource repositories with little effective support. Second, more memory does not…",
  "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."
}