Senior Android Developer & Interviewer, regularly sharing original tech articles, learning resources, and practical interview guides. Welcome to follow and contribute!
After struggling with context limits of web‑based AI tools, the author integrates JetBrains’ Junie AI Agent directly into Android Studio, demonstrating a plan‑execute‑verify workflow, Ask and Code modes, multi‑module refactoring, responsive UI generation, and safe team collaboration through GitHub integration.
In early 2026 the AI community witnessed a sharp shift away from Model Context Protocol (MCP) toward CLI‑first approaches, driven by token‑cost inflation, fragmented authentication, and loss of composability, with developers favoring the lightweight, text‑based nature of command‑line tools for building robust agent pipelines.
This article examines the evolution from Prompt Engineering to Context Engineering and finally to Harness Engineering, presenting a six‑layer architecture and practical modules that turn large language models into robust, observable, and maintainable AI systems.
Amid the shift toward cloud‑native and AI‑assisted development, the CLI‑Anything open‑source project demonstrates how turning graphical software into structured command‑line interfaces can empower AI agents to automate repetitive tasks, reduce context switching, and unlock new automation opportunities across diverse tools.
This article explains how to implement on‑device Retrieval‑Augmented Generation (RAG) for large language models, covering embedding, vector indexing, model selection, quantization, data chunking, incremental updates, hybrid search, and agentic RAG to deliver fast, private, and personalized AI experiences on mobile devices.
Superpowers introduces a structured, Git‑worktree‑based AI development workflow that tackles plan deviation by combining brainstorming, automated planning, sub‑agent execution, mandatory TDD, and continuous back‑check, offering a practical alternative to simple plan modes and heavyweight frameworks.
This comprehensive guide demystifies Android dependency injection, covering core concepts, manual implementation, the role of composition roots, and a detailed comparison of Hilt and Koin—including their architectures, advantages, trade‑offs, and practical tips for choosing the right framework in real‑world projects.
Google’s newly released Room 3.0 Alpha marks a landmark rewrite that transforms the Android‑only persistence library into a Kotlin Multiplatform solution, introducing package renaming, KSP‑only processing, coroutine‑first APIs, and experimental web support, while providing detailed migration steps and new features such as custom DAO return types.
This guide walks developers through a five-step, zero‑cost workflow—using AI‑driven design, code generation, backend integration, Git versioning, and Vercel deployment—to transform a concept into a functional web or mobile app without extensive coding expertise.
This article reviews three popular terminal AI coding assistants—Claude Code, Gemini CLI, and OpenAI Codex—comparing installation experience, core features, advanced capabilities, and real‑world coding results to help developers choose the tool that best fits stability, cost, or simplicity requirements.
