Generative AI has become a significant focus for developers, with advancements leading to increased productivity, easier app development, and reduced reliance on specialized data science teams. The training data used in Generative AI models is crucial, as seen in the collaboration between MongoDB and Amazon CodeWhisperer to train the model on MongoDB use cases. This enables developers to build faster and safer, but it's not expected to replace everything. Instead, Generative AI will empower developers with more limited backgrounds in AI/ML to effectively use LLMs in their applications. The RAG architectural pattern presents a potent combination of pre-trained models and company-specific data, allowing developers to build AI-powered apps grounded in enterprise knowledge without extensive data science expertise.