Build, launch, and keep improving
Practical guides for building, customizing, launching, and growing software products.
Migrate a web app to React Native by sharing domain logic and API clients while rebuilding navigation, accessibility, storage, and interaction for native platforms. This revised guide emphasizes supported APIs, production tradeoffs, and an upgrade-friendly path without tying the advice to a calendar year.
Windows is a solid development environment for React Native Android apps. The important part is to install the native Android toolchain cleanly, keep Node and Java aligned with your app's React Native version, and use project-local commands instead of old global CLIs.
This guide focuses on Android development from Windows. Building and running iOS apps still requires macOS and Xcode.
Our premium app templates are fully functional starter source codes, to help software developers and tech entrepreneurs make their mobile apps more quickly and at a fraction of the cost.
AI coding tools are now part of the standard Xcode conversation, but generated Swift still needs the same architecture, platform, security, accessibility, and release review as manually written code. This guide explains where AI helps and where an experienced builder must take control.
Master the Art of AI Guidance with Sophisticated MDC Strategies
A Detailed Comparison of Leading AI Coding Tools for Flutter Developers
Master the Art of AI Guidance with Sophisticated MDC Strategies
Master the Art of AI Guidance with Sophisticated MDC Strategies
Preparing for the Next Generation of AI-Assisted Development
React Native developers eventually need a signed Android release build. For Google Play, the normal production artifact is an Android App Bundle (.aab). APKs are still useful for local testing, sideloading, and some distribution workflows, but Google Play release planning should start with the app bundle.
This guide explains the modern release build flow for React Native Android apps.
Vibe coding is a new, informal term for writing software by talking to AI tools instead of typing code. In practice, a person simply describes a task in plain English (or another natural language) to a large language model (LLM) that’s been trained to write code. The AI then generates working source code to solve the task. As one summary explains, it shifts “the programmer’s role from manual coding to guiding, testing, and refining the AI-generated source code”.
Send transactional email from Node.js through a server-only SendGrid integration with restricted API keys, verified domains, templates, idempotency, and delivery webhooks. This revised guide emphasizes supported APIs, production tradeoffs, and an upgrade-friendly path without tying the advice to a calendar year.
Practical product notes
Occasional tutorials, product resources, and lessons from building and launching software.