AI SDLC - Cross-cutting Changes
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…
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.
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