With AI becoming a core part of testing, which specific skills should testers and SDETs prioritize in the next 2–3 years to stay future-proof?
Since AI technology taking over everything, What is the area that QA should be most insecure about? What are the certifications that can boost the skills ?
With the rise of AI tools in the market, do you think dedicated QA teams will still be required to test and validate these AI systems?
How do you recommend balancing traditional testing skills with emerging AI/ML-based tools in career development ?
How will model based testing tools or AI agents approach in coming days So no code based testing like selenium/playwright in future?
Is AI creating lots of chaos that is making people who are hunting for a Job more uncomfortable? How to get rid of this discomfort?
What do you think, How long it might take to settle AI hype down and how picture will be after that from QA space, how QA role will be changed ?
Is there any security concern, when you integrate AI in your framework?
I have been mostly seeing the Playwright MCP being used to do some POC, do you think it can be used for full fledged production level testing of an application.
How can we best frame the benefits of all tools manual/automation/AI rather than only AI hype when speaking with software developers and stakeholders?
I am a recent graduate with cloud computing domain, what will be the recommended method if I want to deep dive into AI? Just Some recommendations to start.
How will the role of a QA professional evolve in the next 5 years with AI integration in testing?
DO Quality Engineer need DevOps knowledge must ,if yes what DevOps skills do we have to upskill
Is core java really enough to build automation framework from scratch?
Can you suggest Best tool for Automation for web & App Both
How leads should evolve with this AI era, we have to learn as well as guide the juniors. Already started the learning process, but coping with both things is sometimes difficult?
With AI capabilities, do you think Senior QAs good at automation & AI usage, should start looking at DevOps space (creating agents , pipelines , networking) for managing QA environment ?
Should QA teams invest more in AI-powered no-code test automation tools or continue mastering coding-based frameworks?
Which career is better performance testing or automation testing.
As a Tester with Manual and Automation, which AI Tools that are relevant to Testing that can be learned ?