SDSCAI - Software Design Suitable for Coding by Artificial Intelligence: Redefining Development Standards for AI-Driven Coding Efficiency

The advancement of generative Artificial Intelligence (AI) has revolutionized software engineering, allowing the automation of previously exclusively human steps. This article proposes the SDSCAI (Software Design Suitable for Coding by Artificial Intelligence), a new development paradigm that redefines design standards to maximize AI coding efficiency. SDSCAI structures a workflow adapted to AI interpretation, which aims to redefine software engineering standards from the rise of artificial intelligence-assisted coding, where the developer acts as a code standardizer, ensuring efficiency, security, scalability and portability. The focus is on adapting the development flow so that it becomes fully interpretable and efficient from the point of view of generative AI tools. We present a development flow model that integrates standard definition, automated code generation and continuous validation, culminating in a final product optimized for modern computing systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-20
DOI
https://doi.org/10.5281/zenodo.15250016
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
0.00
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article

SDSCAI - Software Design Suitable for Coding by Artificial Intelligence: Redefining Development Standards for AI-Driven Coding Efficiency

Zenodo (CERN European Organization for Nuclear Research)
Plant Molecular Biology Research
article

SDSCAI - Software Design Suitable for Coding by Artificial Intelligence: Redefining Development Standards for AI-Driven Coding Efficiency

article en

Abstract

The advancement of generative Artificial Intelligence (AI) has revolutionized software engineering, allowing the automation of previously exclusively human steps. This article proposes the SDSCAI (Software Design Suitable for Coding by Artificial Intelligence), a new development paradigm that redefines design standards to maximize AI coding efficiency. SDSCAI structures a workflow adapted to AI interpretation, which aims to redefine software engineering standards from the rise of artificial intelligence-assisted coding, where the developer acts as a code standardizer, ensuring efficiency, security, scalability and portability. The focus is on adapting the development flow so that it becomes fully interpretable and efficient from the point of view of generative AI tools. We present a development flow model that integrates standard definition, automated code generation and continuous validation, culminating in a final product optimized for modern computing systems.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Plant Molecular Biology Research
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