International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
ARTIFICIAL INTELLIGENCE IN PROGRAMMING: TRANSFORMING LANGUAGE STRUCTURES AND CAPABILITIES Kamil Ansari1, Dr. Peeyush Kumar Pathak2 1Master of Technology, Computer Science and Engineering, Goel Institute of Technology And Management,
Lucknow, India
2Assistant Professor, Department of Computer Science and Engineering, Goel Institute of Technology And
Management, Lucknow, India ---------------------------------------------------------------------***--------------------------------------------------------------------structural, object-oriented and functional paradigms Abstract - Artificial Intelligence (AI) has grown so fast and further increased the space and flexibility of the expressions in the programming practices. At the same time, Artificial Intelligence (AI) which started as an area of study with the languages such as LISP and PROLOG has already become another dramatic change in software development [1].
its impact has had a great role in shaping and use of programming languages that have not only affected the structure of the programming languages but also of the developers. The given paper dwells upon the notion that AI reshapes classical codes paradigm by bringing automation, natural language processing, intelligent code generation, and adaptive environments of developing. The study started with a historical perspective of tracing the path of symbolic reasoning to the formation of the current AI-assisted tools including GitHub Copilot and the OpenAI Codex. In comparative analysis, we look at the performance and efficiency of the AI generated code as compared to traditional human coded solutions through the realms of web development, mobile applications and game design as some of the major domains in which we analyze such initiatives. Empirical findings suggest that AI helps to reduce the amount of time it takes to develop, decrease the occurrence of syntactic mistakes, yet cannot comprehend contexts and excel in the process of problem-solving most of the times. According to the finding, the future of programming is worked in the area of collaborative intelligence, whereby developers are helped by AI and not being replaced. This work helps to comprehend better the transformative role of AI in the sphere of programming and determine the possible perspectives of the rational and responsible application of the idea.
Since the last few years, AI developed past being the topic of programming, and has become an accomplice in programming itself. Machine learning, the use of natural language processing and large language models (LLMs) like GPT-3 and Codex have allowed AI to contribute to writing, debugging and optimizing code. GitHub Copilot, DeepCode, and TabNine are tools that depict such a crossroad, as AI does not only assist software development but contributes to it directly. Since AI technologies are becoming more ingrained into the development context, they start affecting not only the design of the code but also the design of programming language to support and promote the capabilities offered by AI [2].
Key Words: Artificial Intelligence, Programming Languages, Code Automation, Natural Language Processing, Software Development, AI-assisted Coding, GitHub Copilot, Code Efficiency.
1. INTRODUCTION 1.1 Background History of programming languages can only be characterized by the constant evolution in the programming languages based on the necessity of a better abstraction, efficiency, and communication with humans. Whether it was primitive machine languages that were run with the binary commands to basic high-level languages such as FORTRAN, LISP and C, programming languages have been evolving over the years to fit the requirements of new technology. The invention of
© 2025, IRJET
|
Impact Factor value: 8.315
Figure-1: Evolution of Coding Languages.
1.2 Problem Statement Even though the application of AI-based tools into the process of software development is becoming common, few empirical studies have been carried out to assess their
|
ISO 9001:2008 Certified Journal
|
Page 818