{
  "id": 12351340,
  "title": "HUD’s Roee Adler on the NYSE: Why AI Coding Needs to See What Happens in Production",
  "url": "https://urgent.news/2026/10/06/huds-roee-adler-on-the-nyse-why-ai-coding-needs-to-see-what-happens",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-06T09:14:17.000Z",
  "source": {
    "name": "HackerNoon",
    "slug": "hackernoon",
    "url": "https://hackernoon.com/huds-roee-adler-on-the-nyse-why-ai-coding-needs-to-see-what-happens-in-production?source=rss"
  },
  "original_language": "en",
  "account": "HUD CEO Roee Adler discussed the importance of ensuring AI coding agents understand how their generated code will behave in real-world production environments. During a recent NYSE interview, Adler emphasized that software engineering has two distinct realms: the code engineers create and the environment in which that code operates. While AI models are trained on vast amounts of code, they lack insight into how software functions under actual conditions. This discrepancy is becoming a significant challenge in modern software development. HUD is addressing this issue by integrating runtime code sensors that provide AI coding agents visibility into production behavior. This allows engineers to generate code at a faster pace without compromising reliability. A key concern is the accountability issue, known as \"shaky finger syndrome,\" where engineers may be responsible for deploying code they did not fully understand. HUD's runtime code sensor aims to make production context directly accessible to the development process, reducing the need for engineers to investigate problems after they occur. By providing continuous feedback, Adler believes AI coding agents will increasingly influence the reliability, monitoring, and system health aspects of the software development lifecycle.",
  "summary": "AI coding agents can generate software faster, but they lack production context. Learn how runtime intelligence could help AI agents build more reliable code.",
  "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."
}