u/yoursweetdesire17

8+ years in QA (product → Shopify agency → back to product), now at an AI startup. Curious if my current workflow is normal or if I got lucky with tooling.

The old way, for years:

1. Receive reqs
2. Write test plan/test cases
3. Manually test
4. Log bugs

Depending on the feature, this could eat hours, days, sometimes weeks.

How I work now:

1. Drop the feature into Claude
2. Have it generate the test cases/test plan
3. Have it actually run the tests on the PR or staging
4. I manually cover whatever it couldn't (rare)
5. Claude leaves feedback/pass notes and updates my test run

A feature that used to take days can now get through in a few hours, even when it's pretty complex.

So — is this just a quirk of working at an AI-native company, or is this becoming the norm in QA now? Would love to hear how manual QA folks elsewhere are (or aren't) using AI in their day-to-day.