Since 2022, AI-assisted development has evolved from a novel productivity tool to a core component of modern software engineering. AI coding assistants now support tasks ranging from code generation and debugging to testing, documentation, and workflow automation. This article explores how developer roles, team dynamics, productivity metrics, and software delivery practices have changed over the past few years. It also examines the benefits, challenges, and limitations of AI-powered development, providing a practical perspective on what the data reveals about the real impact of AI on software engineering and what it means for the future of development teams.