The UC Residency Determination Project addresses the challenge of accurately determining residency status for incoming undergraduate students. This session will explore how we've implemented an AI-powered solution using Google's Gemini to analyze student documents and answer administrative questions, significantly streamlining the process. We'll discuss the project's architecture, the benefits of AI in handling large volumes of personal data, and the impact on efficiency, accuracy, and student experience. Attendees will gain insights into applying similar AI solutions to other complex administrative tasks. To accelerate the coding process we will explore how to incorporate Large Language Model (LLM) assisted code completion extensions into development workflow. These extensions, powered by advanced AI, utilized the context of files and coding patterns to provide intelligent code suggestions and completions.