Gemini Integration in Android Studio

Abstract

This research paper presents a systematic plan for the evaluation of the role of Google’s Gemini AI inside Android Studio. While previous tools such as GitHub Copilot and Amazon CodeWhisperer have helped developers with code generation, Gemini represents a deeper integration by functioning as a context-aware assistant within the Integrated Development Environment (IDE). This study investigates whether Gemini improves developer productivity, code quality, security, and user experience. To achieve these goals, we have used a combination of lab experiments with developers and real-world testing on active projects. Using this study, we analysed task completion time, error rates, and code reliability, and also collected developers’ opinions about usability and trust. We also introduce a privacy tool that removes sensitive information before sending data to Gemini, so security rules are followed. Our study showcases how AI assistants affect Android development, showing both advantages and all possible risks. At the end, our study will give proof of Gemini’s usefulness, introduce problems like overreliance, dependancy or data leaks, and suggest practical ways to use AI safely.