This study analyzes the crucial function of Artificial Intelligence (AI) technologies across the software development lifecycle, encompassing basic code generation to final deployment. The paper examines the evolution of AI from a helpful instrument to an autonomous entity that impacts critical facets of software development, markedly improving efficiency, productivity, and also software quality. This study examines AI's engagement alongside human developers, focusing on how AI may optimize many phases for development, minimizing time allocated to repetitive jobs, and also enhancing precision within code generation, testing, and also the debugging. The study examines AI's contribution to innovation through accelerated prototyping, enhanced decision-making, and also the predictive analytics within the development, and also deployment stages. The article primarily aims to evaluate AI's collaborative function alongside developers, transitioning coming from an assistant to an autonomous agent capable of doing activities typically executed by humans. Although AI offers significant advancements, the study underscores various obstacles, that constrain its present capabilities. Critical concerns encompass the interpretability of AI-generated outputs, which is vital for guaranteeing, that the AI's decisions conform to human needs, and also ethical standards.