Senior Android Developer & Interviewer, regularly sharing original tech articles, learning resources, and practical interview guides. Welcome to follow and contribute!
Learn how Android 14 and newer versions refine permission handling, covering runtime requests, background location, notifications, Bluetooth, media access, foreground services, and UX best practices, with Kotlin code examples and step‑by‑step guidance to ensure compliance and optimal user trust.
Androidify is an open‑source Android app that transforms user selfies into personalized Android robot avatars by combining Jetpack Compose UI, Firebase backend, and Google’s Gemini and Imagen AI models, offering developers a concrete example of AI‑driven mobile development.
Learn how to identify and resolve performance issues in Jetpack Compose by using Layout Inspector, Stability Reports, and configuration files, understanding stable vs unstable parameters, applying strong skipping, and leveraging annotations and wrapper classes to achieve efficient UI recomposition.
Gemini AI, now deeply integrated into Android Studio, acts as a full‑lifecycle UI development assistant—transforming design drafts into Compose code, auto‑generating previews, offering code explanations, optimizations, and project‑wide context configuration—dramatically speeding up Android app creation for both individual and enterprise developers.
Android 15 introduces 16KB memory pages, requiring native libraries to align accordingly; this change improves TLB efficiency, reduces CPU load, speeds up cold starts, and lowers battery consumption, while Google Play mandates compliance by November 2025, prompting developers to audit and rebuild affected .so files using provided tools.
Capturing a screenshot right before an Android app crashes provides visual context that speeds reproduction, clarifies UI/UX conditions, saves debugging time, and bridges communication between developers, QA, and support, and this guide shows how to implement it using UncaughtExceptionHandler, ActivityLifecycleCallbacks, PixelCopy, and Kotlin code.
Journey Test introduces Gemini AI to Android UI testing, letting developers write test steps in natural language that are automatically converted into executable test cases, with a complete workflow from file creation to execution, tips for efficient authoring, current limitations, and suitable use cases.
This article compares MVVM and MVI in the Compose era, reviewing their histories, practical code examples, and trade‑offs, and concludes that MVVM usually provides sufficient predictability and simplicity while avoiding the boilerplate and complexity that MVI can introduce.
Journey Test, an AI‑powered feature in Android Studio, lets developers create end‑to‑end UI tests using natural language, eliminating code‑heavy scripts, adapting to UI changes, and integrating with CI pipelines, thereby combining manual testing flexibility with automated scalability for Android apps.
This article compares three Model‑View‑Intent (MVI) variants—Pure MVI, MVI with a Reducer, and MVI with a State Machine—detailing their core concepts, code examples, advantages, disadvantages, and when each is best suited for Android Jetpack Compose projects.
