{
  "id": 7194,
  "url": "https://arxiv.org/abs/2603.14805v2",
  "title": "Knowledge Activation: AI Skills as the Institutional Knowledge Primitive for Agentic Software Development",
  "summary": "Enterprise software organizations accumulate critical institutional knowledge - architectural decisions, deployment procedures, compliance policies, incident playbooks - yet this knowledge remains trapped in formats designed for human interpretation. The bottleneck to effective agentic software development is not model capability but knowledge architecture. When any knowledge consumer - an autonomous AI agent, a newly onboarded engineer, or a senior developer - encounters an enterprise task with",
  "authors": "Gal Bakal",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-16T04:10:35.000Z",
  "fetched_at": "2026-07-14T16:33:03.572Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7194",
  "original_url": "https://arxiv.org/abs/2603.14805v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}