Senior Android Developer & Interviewer, regularly sharing original tech articles, learning resources, and practical interview guides. Welcome to follow and contribute!
This article breaks down LLM token billing by explaining what tokens are, how requests are charged, why a single query can consume thousands of tokens, and offers concrete strategies to estimate usage, monitor costs, and reduce expenses across different scenarios.
The article explains how Kotlin's lateinit can silently bypass compile‑time null safety, leading to UninitializedPropertyAccessException crashes, and argues that using nullable types with safe‑call operators provides compile‑time guarantees, reduces runtime bugs, and improves code safety.
The article analyzes how AI can automate highly standardized coding tasks while the truly scarce abilities of software engineers—problem definition, strategic decision‑making, cross‑team influence, and responsibility for outcomes—remain irreplaceable, reshaping the profession’s value distribution.
The article analyses how AI code‑translation tools can quickly produce parallel Android and iOS code, but argues that cross‑platform frameworks like KMP still provide essential value by keeping business rules in a single source, enforcing clear boundaries, and preventing long‑term drift that AI alone cannot manage.
The article explains how the grill‑me skill inserts an interactive requirement‑clarification stage before an AI Agent executes a task, reducing misaligned outputs and rework by asking one focused question at a time, offering suggested answers, and distinguishing factual from decision information.
This article demystifies Kotlin's Flow, StateFlow, SharedFlow, and Channel by explaining their emission, storage, and loss mechanisms, illustrating common pitfalls with concrete code examples, and providing practical guidelines for choosing the right asynchronous data container in Android apps.
The article analyzes how Android evolves in 2026 from a simple app platform into a full‑blown intelligence system, covering on‑device AI via AICore and Gemini Nano, hybrid inference, intent‑based computing, the new AppFunctions framework, AI‑enhanced Chrome, and a transformed developer workflow.
The article traces four evolutionary jumps in AI engineering—from Prompt to Context, Harness, and finally Loop Engineering—explaining how Loop Engineering replaces manual prompting with self‑driving closed‑loop systems, outlines its five‑module architecture, memory layer, and the four conditions and safeguards needed for production‑grade AI agents.
The article examines Kotlin Multiplatform's adoption in production, highlights its quality and staffing benefits, presents survey reuse statistics, and then delves into iOS‑specific debugging hurdles, Objective‑C interop limits, missing API support, native dependency gaps, concurrency complexities, and offers cautious rollout recommendations.
Android 17 introduces MemoryLimiter, a system‑level app memory cap that silently kills processes exceeding device‑based limits, making unoptimized Bitmaps the biggest risk; the article explains the mechanism, detection methods, and five concrete Bitmap‑optimisation strategies plus new Android Studio tools to keep apps alive.
