{
  "id": 17979,
  "url": "https://arxiv.org/abs/2608.06113",
  "title": "DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds",
  "summary": "CLI-based software-engineering agents have matured rapidly, yet the open ecosystem has converged on a single training environment: trajectory datasets used to fine-tune open models are collected almost exclusively under OpenHands. Models fine-tuned on this data score well under OpenHands but degrade substantially when deployed under any non-training scaffold. Untrained base models do not show this divergence, indicating the gap is fine-tuning-induced and tied to the conventions of the training s",
  "authors": "Kishanthan Thangarajah, Boyuan Chen, Ahmed E. Hassan",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-05T20:00:00.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "hf-daily",
  "source_name": "HuggingFace Daily Papers",
  "source_homepage": "https://huggingface.co/papers",
  "ethics_ai_record_url": "https://ethics.ai/record/17979",
  "original_url": "https://arxiv.org/abs/2608.06113",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}