{
  "id": 16872591,
  "title": "AI SDLC - Cross-cutting Changes",
  "url": "https://urgent.news/2026/10/28/ai-sdlc-cross-cutting-changes",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-28T08:40:28.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/georgiakali/ai-sdlc-cross-cutting-changes-19lo"
  },
  "original_language": "en",
  "account": "Georgia Kali's article published on October 28, 2026 discusses the IntDEx framework and its seven cross-cutting changes to AI-native software development lifecycle (AI SDLC). The major changes include shifting focus from code-centric development to behavior-centric delivery, adopting a flow-based, readiness-triggered replenishment over sprints, transitioning from separate project and product management to unified product delivery management, moving from larger, technology-aligned teams to smaller (3-5) teams aligned to business domains, introducing human oversight with role-owned blocking checkpoints, establishing independent evidence requirements over traceability matrices, and implementing tiered adoption with verified cost tracking. The article argues that these cross-cutting changes reshape how work flows, team structures, oversight, evidence, cost, and adoption occur throughout the entire AI SDLC, rather than just within individual phases.",
  "summary": "Georgia Kali · 28 October 2026 · AI SDLC series, IntDEx framework Why the biggest changes in AI-native delivery sit between the phases, and how the IntDEx framework re-wires flow, teams, oversight, evidence, cost and adoption The problem: changing the phases is not enough Earlier articles in this series covered single phases of an AI-assisted software development lifecycle (AI SDLC). Some of the…",
  "key_points": [
    "Shift focus from code-centric to behavior-centric delivery in AI SDLC",
    "Adopt flow-based, readiness-triggered replenishment over sprints",
    "Transition from separate project/product management to unified product delivery management"
  ],
  "editors_take": "Transitioning from code-centric to behavior-centric development forces organizations to restructure teams around business domains and unified delivery management to accommodate the unique requirements of the AI-native software lifecycle.",
  "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."
}