{
  "id": 16595142,
  "title": "Article: The Evolution of Agentic Harnesses: From Chains to Graph to Code",
  "url": "https://urgent.news/2026/10/26/article-the-evolution-of-agentic-harnesses-from-chains-to-graph-to",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-26T11:00:00.000Z",
  "source": {
    "name": "InfoQ",
    "slug": "infoq",
    "url": "https://www.infoq.com/articles/agentic-ai-architecture-harness-evolution/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Agentic LLM systems have moved from linear prompt chains to graph-based workflows and, more recently, code-executing harnesses. Chains are simple but fragile, graphs add branching, retries, and validation, and code harnesses verify outputs through execution. The article advises validating model outputs and choosing the least complex design that meets reliability, speed, and cost needs. By Karthik…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}