Hey everyone, I’ve been looking into how AI agents are changing the QA landscape and wanted to share this demo video of Robonito testing a checkout flow.
Whether you are skeptical of AI or not, the workflow here is pretty wild compared to traditional automation.
Here is the TL;DW of the video:
- The Input: The user just types a plain text prompt telling the agent to run a smoke scenario (login -> add item -> checkout) and provides the credentials. No code.
- The Execution: The agent spins up a browser, reads the DOM, and figures out the navigation on its own.
- The Catch: It hits a wall at the checkout form because of a "Last Name" issue.
- The Value: Instead of just failing a script, the agent identifies it as a bug, logs it, and auto-generates a reproducible test case with the exact steps.
The Video:
https://reddit.com/link/1t4aat5/video/z47ud95weazg1/player
My take: The biggest pain point in our industry is test maintenance. If a developer changes a button ID, traditional scripts break. Because these agents read the page structure contextually (like a human would), they seem much more resilient to UI changes.
I'm curious to hear from the QA engineers here. Do you trust autonomous agents to handle your end-to-end testing yet, or are we still a few years away from this being enterprise-ready?