Lightning Talks
summary
An AI agent takes a plain user story, drives a live browser to perform the flow, and outputs a reviewable test recording plus assertions that can be pushed to GitHub; the demo shows login → add product → cart and generated selectors. It pairs with an automated refactor step using Cursor refactor to extract locators and page objects, and the prototype (a few months of work) aims to parallelize multilingual test generation with an AI agent recorder for tedious flows.
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chapters (7)
- 0:00Manual QA to automation
- 4:25Observability in testing
- 9:45AI agents for test scripts
- 16:29MCP mobile testing demo
- 22:34Internal LLM for QA
- 26:29GitHub Copilot rules
- 31:07AI in WebDriver.io
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