AI driven development refers to the integration of artificial intelligence technologies into the software development lifecycle to improve efficiency, code quality, and decision-making. It includes AI-assisted code generation, automated testing, bug detection, and intelligent system design. Development teams use machine learning algorithms to optimize performance, recommend design patterns, and forecast project risks. This approach accelerates innovation by enabling predictive analytics, natural language-based coding interfaces, and smart debugging tools. AI-driven development also supports dynamic infrastructure scaling, behavior prediction, and real-time optimization. As organizations seek to automate repetitive tasks and boost productivity, this methodology enables more adaptive, resilient, and intelligent software systems tailored to evolving business needs across industries.