Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers

TL;DR

This paper evaluates leading AI programming assistants like ChatGPT, Gemini, AlphaCode, and GitHub Copilot, analyzing their accuracy, strengths, and weaknesses across multiple programming languages to guide future improvements.

Contribution

It provides a comprehensive comparison of top AI coding models, highlighting their performance, limitations, and ethical considerations in modern software development.

Findings

High language understanding and code generation progress

Identified strengths and weaknesses of each model

Emphasized need for further model refinement and ethical practices

Abstract

Our everyday lives now heavily rely on artificial intelligence (AI) powered large language models (LLMs). Like regular users, programmers are also benefiting from the newest large language models. In response to the critical role that AI models play in modern software development, this study presents a thorough evaluation of leading programming assistants, including ChatGPT, Gemini(Bard AI), AlphaCode, and GitHub Copilot. The evaluation is based on tasks like natural language processing and code generation accuracy in different programming languages like Java, Python and C++. Based on the results, it has emphasized their strengths and weaknesses and the importance of further modifications to increase the reliability and accuracy of the latest popular models. Although these AI assistants illustrate a high level of progress in language understanding and code generation, along with ethical considerations and responsible usage, they provoke a necessity for discussion. With time, developing more refined AI technology is essential for achieving advanced solutions in various fields, especially with the knowledge of the feature intricacies of these models and their implications. This study offers a comparison of different LLMs and provides essential feedback on the rapidly changing area of AI models. It also emphasizes the need for ethical developmental practices to actualize AI models' full potential.