AI-driven development involves incorporating artificial intelligence into the software development lifecycle to automate coding, testing, and optimization. This AI driven development approach uses machine learning models, especially large language models, to generate code snippets, detect bugs, suggest improvements, and enhance performance. It allows developers to focus more on logic and design while AI handles repetitive or time-consuming tasks. AI-driven development supports rapid prototyping, continuous integration, and scalable application delivery. Companies implementing this methodology also gain benefits in version control, code standardization, and predictive issue resolution. Tools integrated with AI copilots, smart code editors, and recommendation systems are commonly used. The process significantly boosts productivity, reduces errors, and accelerates time-to-market for software products in both web and enterprise environments.