After publishing my recent article on using AI as a partner in Quality Engineering, I realised many teams are moving beyond “one-off prompts” and starting to build more structured GPT agents for testing tasks. I’m curious :thinking: : – Have you built or experimented with GPT agents for testing or…

I haven’t personally, but will be watching this thread with interest,

I tried playwright test agent for generating test plans , script generation and self healing, based on my experience it was okay. I tried it for website with mandatory login for accessing the feature and initially the agent was bit stuck on login. After multiple attempts it was able to access the w…

Hey, great topic—yes, teams are building structured GPT agents for QA beyond one-off prompts. We’ve used them daily for generating test cases from requirements (cuts time 50-70%, catches edge cases), triaging bugs/logs, suggesting exploratory ideas, and light automation (e.g., Playwright code snippe…

I have been using playwright agents, straight forward enough. Should I build my own agent? This i am still questioning, here is an experiment I was running today. Just using prompts - “Create an accessibility risk plan only, remember to dynamically run the app is creating the plan so it has a beh…

Totally fair :smiling_face: I’ve noticed a lot of teams are exactly at this “observing” stage right now , especially once the conversation moves from prompts to agents. I’ll share some concrete examples from our side in the thread, maybe it’ll be useful when you decide to experiment.

This matches our experience quite closely, especially around authentication and the need for manual review. Login flows are still one of the weakest points unless the agent is very tightly guided or operating in a controlled environment. We’ve seen the most value not in full script generation, but …

We’re seeing the same spot: agents work best when they’re narrowly scoped and embedded into existing QA workflows, not when they try to be “general QA brains”. For example, we use GPT and Jira-integrated agents for: generating test cases from requirements bug analysis and clustering refine…

Thanks for sharing such a detailed experiment. this is exactly the kind of real-world feedback that’s missing in many AI testing discussions. What you described resonates a lot: solid high-level reporting useful directional insights but still requiring QA judgment to validate findings and…

Fantastic thread, and you’ve got me started on an agent this afternoon! I’ve created one to do a pass through of Must have requirements to generate the positive and negative scenarios needed at a functional level in a BDD format as they are easy to read. We have a good set of requirements and acce…

We’re using Atlassian’s Rovo agent. It’s pretty good analyzing multiple sources. As per other comments, using it for test case generation has to be done with care. I created an agent that helped generate regression test ideas based on related documents and previous stories. Some were valid, other’s …

Have you built any GPT Agents for testing? If so, could you share in comments or recommend any?

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i_bright (Iain) 12 February 2026 08:52 14

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Have you built any GPT Agents for testing? If so, could you share in comments or recommend any?

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