{
  "id": 10185,
  "url": "https://arxiv.org/abs/2607.09215v1",
  "title": "Configurable AI Coding Assistants: Designing For Developers Who Like to Be in Control",
  "summary": "AI coding assistants are now widely used in professional development, yet they offer only limited ways for developers to control how they behave. In this paper, we investigate what kinds of configurations experienced developers want in coding assistants, how they prioritize different types of configuration needs, and which interface mechanisms they prefer. We first synthesize product documentation and prior research on trust and personalization to compile a list of 33 configuration options, grou",
  "authors": "Ekaterina Koshchenko, Jovana Stankovic, Ilya Zakharov, Agnia Sergeyuk",
  "category": "research",
  "topics": "finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-10T09:06:00.000Z",
  "fetched_at": "2026-07-14T16:55:59.928Z",
  "source_slug": "arxiv-hci",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/10185",
  "original_url": "https://arxiv.org/abs/2607.09215v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}