u/Competitive_Echo9463

Our PO has to create many Jira tickets (Stories and Task) so right now the tickets are usually too short. I'd like that he expresses his idea as input/prompt to some AI and that we get a good Jira ticket. If it's possible, the AI should ask some questions to the user in order to get enough information to be able to create a good Jira ticket.

I have tried with Claude + Atlassian connector and he has created an UI where I can do all these things but it's very instable.

How could I do it ? maybe just ask it to Rovo ?

I have to automate test cases in a platform where there are many dynamic ID, for instance I upload documents and in the list they'll have ID generated everytime. There are also titles there are generated at every ran, for example

.FileCollectionLabel-module__fileName__XXXXXX

where XXXXX is dynamic.

How can I deal with assertion on those elements ?

Any feedback on vision based tools like Stagehand and Midscene.js ?

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.