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The Triumph of a Single Programming Language ? English
Subject area: Science,Engineering and Technology · Area of research: Computer Science and Engineering
DOI: https://doi.org/10.64388/IREV9I4-1711081-2290
Abstract
The rapid advancement of Large Language Models (LLMs) and Artificial Intelligence (AI) is catalyzing a fundamental shift in traditional programming paradigms. This paper explores the vision of a future where conventional programming languages such as C++, Java, Python and many more converge into a unified paradigm centered around natural language?primarily English. By introducing an abstraction layer over existing languages, LLMs serve as an intelligent intermediary, enabling users to describe computational logic using natural language instead of formal syntax. This approach eliminates the need for developers to learn and master multiple programming languages and syntaxes, thereby democratizing software development and making programming more accessible. The paper discusses the simple architecture of this superset abstraction, its implications for data analysis, software engineering, and the future of human-computer interaction in natural language.
How to cite this paper
@article{1711081,
author = {Raunak B Sinha},
title = {The Triumph of a Single Programming Language ? English},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {4},
pages = {92-94},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711081.pdf},
abstract = {The rapid advancement of Large Language Models (LLMs) and Artificial Intelligence (AI) is catalyzing a fundamental shift in traditional programming paradigms. This paper explores the vision of a future where conventional programming languages such as C++, Java, Python and many more converge into a unified paradigm centered around natural language?primarily English. By introducing an abstraction layer over existing languages, LLMs serve as an intelligent intermediary, enabling users to describe computational logic using natural language instead of formal syntax. This approach eliminates the need for developers to learn and master multiple programming languages and syntaxes, thereby democratizing software development and making programming more accessible. The paper discusses the simple architecture of this superset abstraction, its implications for data analysis, software engineering, and the future of human-computer interaction in natural language.},
month = {October},
doi = {https://doi.org/10.64388/IREV9I4-1711081-2290}
}