u/Competitive_Echo9463

Especially in small companies the product change and grows often/quickly. When you combine it with few people available and with a big workload, the result is that specs are very light, if they exist.

At the same time as a QA you still need to test and guarantee that the quality is ok.

How do you deal with this situation ? You ask to the Product guy to start writing documentation and/or right user stories ?

I have watched some videos about PW CLI and everytime they show automation on a google search or a todo app, with very basic test cases.

I was wondering if I should use to for a real SaaS or not.

Have you tried in some IRL projects ?

I keep hearing a lot about AI transforming QA and test automation, but I’m struggling to find concrete, real-world feedback from people actually using it in their day-to-day work.

So I’d love to hear from you:

• Are you using AI in your test automation workflows?
• If yes, for what exactly? (test generation, maintenance, debugging, test data, etc.)
• What tools are you using?
• And most importantly: what real results have you seen? (time saved, coverage improvement, flakiness reduction, etc.)

I’m particularly interested in practical use cases, not just experiments or hype.