Traditional approaches to web end-to-end testing often struggle with brittle selectors, complex flows, and high maintenance overhead. What if we could harness the power of Large Language Models and AI agents to create automated tests that are robust, intelligent, and self-adapting?
In this session, we'll explore concrete technologies that enable us to leverage AI for creating and executing web E2E tests. We'll see examples of intelligent agents capable of understanding interfaces, adapting to UI changes, and autonomously creating new test cases.