Of course that would be even more valuable for testing your MCP or A2A services, but could be useful for UI as well. Or it could be useless. It would be interesting to see if the same UI changes affect both human and AI success rate in the same way.
And if not, could an AI be trained to correlate more closely to human behavior. That could be a good selling point if possible.
But what determines that the UI has changed for a specific URL? Your software independent of the planner LLM or do you require the visual LLM to make a determination of change?
You should also stop saying 100% open source when test plan generation and execution depend on non-open source AI components. It just doesn’t make sense.
We say 100% open source because all of our code (test runner and AI agents) is completely open source. It’s also completely possible to run an entire OSS stack because you can configure with an open source planner LLM, and Moondream is open source. You could run it all locally even if you have solid hardware.