Generative AI coding tools are transforming the developer landscape by significantly increasing productivity, with research showing up to 45% faster code development and 50% faster documentation. Enabled by advances in machine learning and natural language processing, tools like GitHub Copilot and GPT-3 can automate mundane tasks such as code generation, test case creation, and performance optimization, allowing developers to focus on more innovative challenges. These tools enhance collaboration and reduce distractions, but they come with limitations, including potential security risks and the necessity of human oversight. The tools are best seen as augmentative, offering substantial productivity benefits while requiring careful integration into workflows to maximize their potential without over-reliance. The article highlights the importance of treating AI as an assistant to human developers, emphasizing the need for responsible use to ensure ethical and secure code generation.