Build An AI QA Agent for Expo Apps
AI agents write code fast. This means more pull requests and a higher need for quality checks.
Frontend testing is harder than backend testing. AI can write UI code, but it often misses the visual mark. You need a way to verify the results on real devices.
You can build a lightweight QA agent for Expo apps using EAS Workflows. You do not need a massive platform.
Here is how to set it up:
- Use an Expo app with CNG.
- Use EAS Workflows to run jobs on Android and iOS.
- Use a Node.js agent with an AI SDK.
- Use agent-device for mobile automation.
- Post results directly to GitHub pull requests.
The goal is a simple loop for every pull request:
- Reuse existing mobile builds to save time.
- Boot an emulator or simulator.
- Install and launch the app.
- Let an AI agent inspect the UI and take screenshots.
- Post a summary under the PR.
To make this reliable, keep the workflow deterministic. Do not let the AI handle installation or setup. Use scripts to install and open the app first. Then, let the agent handle the variable parts like navigation and inspection.
This approach works because EAS Workflows already handles mobile CI. It provides:
- Fingerprinting to detect native changes.
- Build reuse to avoid unnecessary rebuilds.
- Runners with virtualization for Android and iOS.
- GitHub integration for easy feedback.
Keep your agent focused. It should treat the app as a black box. It should read the PR context, inspect the UI, and write a report. If the agent is not sure about a result, it should say so and attach a screenshot.
You can start with one platform, like Android, and add iOS later. This setup is fast, small, and grows with your team.
Start with this template: callstackincubator/eas-agent-device
Source: https://dev.to/expo/build-an-ai-qa-agent-for-expo-apps-with-eas-workflows-in-minutes-today-13nb
Optional learning community: https://t.me/GyaanSetuAi