{
  "id": 15839,
  "url": "https://arxiv.org/abs/2608.02420",
  "title": "WIP: Chat-Debugging: Large Language Model as a Hardware Debugging Assistant",
  "summary": "arXiv:2608.02420v1 Announce Type: cross Abstract: This work-in-progress research paper explores Chat-Debugging, a novel use case for large language models as an assistant for hardware debugging tasks to improve students' debugging skills. Hardware debugging can be a time-consuming and stressful skill to develop, leading to frustration and other negative emotions. While past work has explored streamlining and automating software-based circuit debugging where digital circuits are dominant, Chat-De",
  "authors": "Andrew Ash, John Hu",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T04:00:00.000Z",
  "fetched_at": "2026-08-04T05:10:21.797Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/15839",
  "original_url": "https://arxiv.org/abs/2608.02420",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}