AI Vibe Coding for Android Apps Development

Native Android development is a regular part of the working week for Dr. Alfred Ang. A full-stack AI developer, Agentic AI solution architect and CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, Dr. Ang builds solutions end-to-end across front end, back end, databases, cloud deployment and, especially, native mobile apps. The public portfolio of more than 300 repositories includes a long list of Android apps built with Kotlin and Jetpack Compose, several of them live on Google Play. Among them are an HR client with leave applications, payslips, expenses, clock-in and approval flows; a document scanner that uses ML Kit edge detection and on-device OCR to export PDFs; a digital business card app that scans paper cards with on-device OCR; a learning management companion app for learners and trainers; a certification practice-exam client; and an offline Sudoku game with guaranteed unique puzzles. Other projects cover GPS run tracking with live route maps, live bus arrivals and car park availability from public transport APIs, an EV charging finder on Google Maps, a passport-photo maker with on-device background removal and a GPU-accelerated fractal generator using OpenGL ES. Many of these were built with AI coding assistants doing much of the typing while Dr. Ang directed the architecture, reviewed the code and handled testing and Play Store release. That practical, release-focused experience is what learners get in this course. Several of these apps also have native iOS twins in SwiftUI, so Dr. Ang can explain clearly which ideas are Android-specific and which carry across platforms.

AI Vibe Coding for Android Apps Development follows the full lifecycle Dr. Ang uses on real projects, adapted for learners working in Java. The first topic introduces native Android development and vibe coding: setting up Android Studio, understanding the project structure and learning how to give an AI assistant clear, well-scoped instructions. The second topic covers Java programming fundamentals, with the AI used as a tutor that explains each construct rather than a black box that hides it. The third topic moves into application design, object-oriented programming and user interface development, where learners build screens, handle user input and organise code into sensible classes, following the same separation of concerns Dr. Ang applies in production apps. The fourth topic tackles data management, APIs, testing, debugging and error handling, including storing data locally, calling a web API, reading Logcat output and asking the AI to explain a crash rather than guessing. Throughout the course Dr. Ang shares lessons from shipping to Google Play, such as handling permissions, testing on real devices and preparing a release build, so learners understand what it takes to go beyond a demo. Expect plenty of live coding, frequent checkpoints and individual help when a build fails. By the end, each learner will have designed, coded, tested and run a working native Android app of their own. To see the Android apps Dr. Ang has built and released, visit https://github.com/alfredang.