AI-Powered Tools to Enhance the Stages of Software Development

Abstract

The rapid evolution of Artificial Intelligence (AI) has significantly impacted the software development lifecycle (SDLC), introducing tools that enhance efficiency, accuracy, and innovation. This chapter examines the integration of AI-powered tools across SDLC stages, including planning, design, coding, testing, deployment, and maintenance. AI automates tasks like code generation, bug detection, and test case creation, reducing errors and accelerating development. It also enhances decision-making, fosters team collaboration, and optimizes resources through predictive analytics and intelligent project management tools. The chapter highlights AI's role in software quality improvement, using machine learning to detect anomalies and predict failures early. Ethical and security challenges are addressed, stressing responsible AI use and human oversight. By chapter's end, readers will understand how AI-powered tools reshape software development, enabling the creation of robust, scalable, and user-friendly applications while navigating ethical and quality challenges effectively.