{
  "id": 4609,
  "url": "https://arxiv.org/abs/2605.11027v1",
  "title": "From Code-Centric to Intent-Centric Software Engineering: A Reflexive Thematic Analysis of Generative AI, Agentic Systems, and Engineering Accountability",
  "summary": "Generative artificial intelligence (GenAI) and agentic systems are moving software engineering from code-centric production toward intent-centric human-agent work in which natural language, repository context, tools, tests, and governance shape delivery. Prior studies examine code generation, AI pair programming, and software engineering agents, but less is known about how public technical discourse and peer-reviewed evidence together frame the profession's near-term transition. This study addre",
  "authors": "Elyson De La Cruz",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-10T20:45:06.000Z",
  "fetched_at": "2026-07-14T16:31:08.355Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4609",
  "original_url": "https://arxiv.org/abs/2605.11027v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}