AI Native Software Engineering -The Foundation of Future Innovation

AI-Native Software Engineering proposes a shift from AI-assisted tools to engineering systems designed with intelligence at their core. This paper surveys technical architecture, agentic workflows, infrastructure, and governance required to embed AI across the SDLC. I examine readiness, business value, and risks, and propose a phased adoption roadmap for organizations seeking to transition to self-optimizing, AI-native delivery models.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-11
DOI
https://doi.org/10.5281/zenodo.17889230
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Native Software Engineering -The Foundation of Future Innovation

Zenodo (CERN European Organization for Nuclear Research)
Software Engineering Techniques and Practices
article

AI Native Software Engineering -The Foundation of Future Innovation

article en

Abstract

AI-Native Software Engineering proposes a shift from AI-assisted tools to engineering systems designed with intelligence at their core. This paper surveys technical architecture, agentic workflows, infrastructure, and governance required to embed AI across the SDLC. I examine readiness, business value, and risks, and propose a phased adoption roadmap for organizations seeking to transition to self-optimizing, AI-native delivery models.

Zenodo (CERN European Organization for Nuclear Research)
University of Washington (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Software Engineering Techniques and Practices
DOIOpen Access PDFOpenAlex
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AI Native Software Engineering -The Foundation of Future Innovation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS