Agent React DevTools gives AI agents access to the React component tree, state, and performance data, enabling deeper debugging and more reliable QA for React and React Native apps.

Discover how we optimized Agent Device to reduce LLM token consumption by over 50% and speed up AI-driven mobile app automation.

Agent Device is a lightweight CLI for AI-driven mobile automation on iOS and Android, with structured snapshots and deterministic replay.

React Native Harness lets you run Jest-style tests directly on devices and emulators. Fast, reliable, and CI-ready. It’s the easiest way to validate native behavior in React Native.

Standard mobile testing tools fail for React Native TV apps due to D-pad navigation. This guide shows how to build custom helpers for React Native Testing Library that emit hardware key events and how to configure Appium for end-to-end testing on tvOS and Android TV.

How to test web3 apps with React Native. Configure your project using Anvil, Wagmi, Viem, and Web3Modal, and gain insights on writing reliable tests.

Michał Pierzchała will present Automating Mobile QA with Cloud Agents at Ship London on 17 June 2026.

A discussion on Agent Device, AI-driven workflows, and testing mobile apps using simulators and accessibility data.

Learn how React Native Harness bridges the gap between mocking and E2E testing: real device tests, full native access, Jest-style simplicity.

Zack Ebenfeld joins React Universe On Air to talk about how AI is changing React Native workflows, testing, QA, and day-to-day engineering work.

This episode of the React Native Show dives into the recent introduction of End-to-End (E2E) testing in RNTester. Join us as we unpack the thought process, technical considerations, and practical implementation of this new approach to testing in React Native.

The first episode of React Universe On Air (formerly known as The React Native Show) provides insights into React Native Testing Library. Mike and his guest give a quick glimpse into the very concept of Testing Library and tell the story behind React Native Testing Library.

Learn how React Native AI uses a unified provider model to switch between cloud and on-device LLMs without rewriting application logic, enabling reliable AI experiences online and offline.

Learn how on-device models in React Native can call tools, interact with external APIs, and return structured outputs you can use directly in application logic.

Learn how to run third-party on-device LLMs in React Native using MLC LLM. Choose your models, run them efficiently across platforms, and keep a unified JavaScript API with React Native AI.

Learn how to use Apple’s built-in Foundation Models in React Native apps, reduce memory usage, and enable fast, fully on-device AI with React Native AI Apple.

Learn why on-device AI matters for React Native apps, how local LLMs behave offline, and what problems React Native AI is designed to solve from day one.

Learn how to implement a React Native TurboModule on Android, from the TypeScript spec and Codegen to the Kotlin implementation and package registration.

Learn how JavaScript, native module, background, and main threads interact in React Native TurboModules, and how to use GCD queues to run async work safely in Swift.

Learn how to expose typed, immutable constants from a Swift TurboModule using Codegen, and get full end-to-end type safety between native and JavaScript.

Learn how to emit native events from a Swift TurboModule and subscribe to them in JavaScript, including proper memory management and Codegen integration.

Learn how to build a fully working TurboModule in Swift, integrate it with Codegen, and bridge it through Objective‑C inside an Expo app.