IntDEx: An AI Native Delivery Framework for Digital Solution Engineering
Year: 2026
Type: preprint
Abstract: Artificial intelligence has introduced a new paradigm in software engineering, where the traditional linear digital solutions (or software) development lifecycles (SDLCs) should be changed for AI‑native development, which require continuous adaptation, iterative refinement, and behavior‑centric engineering. This paper introduces IntDEx, an AI‑native engineering framework designed to support the delivery of digital solutions in complex environments using AI as the main enablement tool. The framework was refined through practical application in a research project where it was used to accelerate the development of the digital platform that was needed for the required research experiments. IntDEx define the basis for a complete AI‑native product/project SDLC, including roles, governance, delivery flow phases, and behavioral engineering practices. It emphasizes non‑linearity, emergence, behavior validation, intent‑centric design, context management, model adaptivity and human centricity as its foundational characteristics.
Author: Ktenas, Spyros
Institution: Ionian University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204101434