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What I’m testing: RudderStack iOS SDK, it is used to track customer event data and send it to various product, marketing, and business tools.
The problem in my current testing workflow: Manual testing is important for quality assurance. In the case of testing RudderStack SDK, it requires multiple time-consuming and error-prone steps such as - plan specific steps for the test, perform interactions, review lengthy amounts of log text, and then verify logs which includes comparing long IDs.
The solution I experimented with: I leveraged LLM to plan test steps, used mobile-mcp to simulate user interactions (clicking some buttons such as track, reset, track, etc.), review logs using LLM (verify the event ID changes sent to the server), and prepare a final comprehensive report. All packaged as an MCP server that can work in my IDE (cursor) with test cases as prompt in plain English.
Result: My agent did click through track → reset → track and caught the anonymous ID change (something that ensures the tracking by the SDK worked properly)
What actually worked:
- Once set up, it did catch the regression correctly - Consistent results vs my manual testing where I sometimes miss things
Issues I ran into:
- Had to write extremely detailed step-by-step instructions and extensive context. If I missed anything, it just failed
- WebDriver setup on port 4723 was finicky
- It is slow. Took 2 minutes for what should be a 30-second manual test
Biggest problem: The amount of upfront work to get it running properly. I spent more time writing instructions than I would have just testing manually.
The real value might be in consistency for regression testing, not speed. But the initial investment is rough.
What would make this useful:
I need to create a workflow where, based on the feature or fixes, agents automatically generate test cases—including all edge cases—targeting the code impacted by the changes, and then perform a thorough end-to-end QA.
Has anyone else tried automating QA using AI? How was your experience and how did you resolve the challenges you faced? (I want to learn the practice that I can incorporate in my workflow)
