Author: Arjun Menon
Abstract: In recent years, artificial intelligence (AI) has made significant strides in transforming software development. AI-driven tools like code generation, automated code completion, intelligent code review, and automated testing have begun to play a pivotal role in enhancing developer productivity, reducing time-to-market, and improving software quality. This paper explores the latest advancements in AI-powered tools for code generation and software development, analyzing their capabilities, limitations, and impacts on traditional development workflows. Through a review of emerging technologies, use cases, and real-world applications, we aim to provide insights into how AI is reshaping the software development landscape. We also highlight future research directions to address existing challenges and foster innovation in AI-driven software development.
Keywords: AI-driven software development, code generation, automated testing, code review, developer productivity, workflow automation
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