Writing mobile tests with Appium can be challenging. Many of us have dealt with unstable selectors, differences between Android and iOS, or slow progress. What if we could use artificial intelligence with Appium? And what exactly is Mobile MCP?
Tutorial Overview
This tutorial is for anyone interested in starting mobile testing with a modern approach. We’ll use Python throughout. Together, we will build an end-to-end framework where AI supports us from the beginning. We will see how tools like Mobile MCP can find elements without needing static IDs or XPath.
We’ll focus on building full end-to-end scenarios. We’ll test whether self-healing really works or is just hype. We’ll also look at where AI can speed up our work, and where we still need the Appium Inspector.
Note: This is a hands-on tutorial and requires some preparation upfront. We’ll send you detailed instructions in advance.
Agenda- AI in Appium: We’ll talk about the main challenges in classic mobile testing and what AI can help solve.
- E2E framework architecture: How to set up a project for AI-powered end-to-end testing, going beyond the basic Page Pattern.
- What is "Mobile MCP"? We’ll give a practical introduction to the tool and show how it works with Appium.
- AI vs. Appium Inspector: We’ll see how AI can find elements in an app as they change.
- Building an E2E Scenario: Step by step, we’ll create a full test path, like logging in, searching, and adding to the cart.
- Intelligent assertions and self-healing: We’ll see how AI helps check the app’s state and what it does when the UI changes.
- Results analysis: We’ll look at how AI can help us figure out why an end-to-end test failed.
- Summary: AI in mobile - revolution or evolution? We’ll finish with a Q&A session.
