AI Use case in Android Development

• Mode: online
• Starts: 10 September 2026

Explore how Artificial Intelligence is transforming Android application development by improving developer productivity, code quality, testing, debugging, and application modernization.

The session can cover practical AI use cases such as:

• AI-assisted code generation using tools like ChatGPT, GitHub Copilot, Gemini, and Claude
• Android code migration — upgrading legacy Android code and APIs to modern Android versions
• Debugging and crash analysis using AI to identify root causes and suggest fixes
• Test case generation for JUnit, Espresso, and Compose UI tests
• Code review and refactoring with AI
• Architecture assistance for MVVM, MVI, Clean Architecture, and modularization
• Jetpack Compose development and XML-to-Compose migration
• Performance optimization for memory, CPU, startup time, and battery
• Documentation generation and understanding large or legacy codebases
• Building AI-powered Android apps using ML, GenAI, LLMs, RAG, and on-device AI
• Integrating AI APIs into Android applications
• AI-driven developer workflows from requirement → coding → testing → deployment