Last video we learned TanStack Query concepts. Today, we put them into a real React Native CRUD app.

In Video #21 of AI Mobile Engineer 2026, we upgrade our existing Expo CRUD application with TanStack Query and implement practical server-state features including caching, optimistic updates and background refetching.

What We Build Today:
* Install and configure TanStack Query in a React Native Expo project using the official documentation
* Use Gemini to create a professional implementation prompt
* Give the prompt to Cursor AI for the implementation
* Integrate TanStack Query into our existing CRUD application
* Implement API data caching
* Implement optimistic UI updates
* Configure background refetching and query synchronization
* Test the complete CRUD flow
* Run and test the application on a physical device using Expo Go

This is AI-assisted development, where we use AI to move faster while still understanding, reviewing and testing the implementation.

Think → Prompt → Review → Debug → Test → Ship

Video #20: TanStack Query Concepts
Video #21: TanStack Query Practical Implementation

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Website:
https://www.thetechzeen.com/

Complete Playlist:
https://www.youtube.com/playlist?list=PLIKgFOVIOd1Y

WhatsApp Community:
https://whatsapp.com/channel/0029VbDmJP617Emr7OAPtp1H

GitHub Source Code:
https://github.com/farzeen-ali/AI-React-Native-Expo-App

GitHub Lecture Files:
https://github.com/farzeen-ali/AI-Mob-Engineer-Concepts

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