{
  "id": 9256649,
  "title": "CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Agents",
  "url": "https://urgent.news/2026/09/22/cliffcompaction-cost-efficient-compaction-for-long-horizon-coding",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T17:55:59.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.26779v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Agents often work on complex problems that require millions of tokens of context, which necessitates compacting across sessions due to limited context windows. We develop CliffCompaction, an autocompaction technique that reduces cost by up to 50% under a bounded context while maintaining or improving performance on Terminal-Bench and achieving new levels of efficiency for test-time scaling and…",
  "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."
}