How can community-driven platforms like LambdaTest Academy support continuous upskilling?
How to clear AI based interviews. As companies started taking interviews round on the basis of AI. Where our emotions doesnt count do we have to be very specific & clear with the answers? Do we have to learn word by word like bookish answers?
Do you foresee AI agents eventually replacing entire QA teams, or will they always need human oversight for edge cases?
As an SDET, I’m interested in transitioning into the AI space . However, I find it challenging to identify opportunities related to AI within my current organization. How can I break into the AI field in existing workplace?
Most of the tools are focused on Frontend. How can we leverage AI to test backend for e.g. batch jobs, ETLs
In this AI era, many of us who aren’t into automation. What steps can we take to grow, stay relevant & make a strong impact in testing career?
Is it better to keep a library of UI scenarios that auto-generate Playwright tests with MCP for each run on the fly, or just use AI once to build the framework and then maintain the tests ourselves?
How can we combine HI(Human intelligence) + EI (Emotional intelligence) + AI ? is there a way to balance these?
If Artificial Intelligence could think and feel like humans, would you treat it as a tool or as a being with rights?
How can QA teams navigate through the huge amount of new AI tools to define which are worth implementing?
What AI tools do you use in BE testing on daily bases ?
What AI Tool do you use for Report creation?
How should we prepare for QA interviews? How are companies going to evaluate our skills?
Do you still refer selenium for automation testing with evolving AI automation tools ?
How we can measure and validate the improvements AI brings to QA process over time?
What guardrails do companies need to prevent AI testing tools from amplifying biases in software (e.g., excluding disabled users)?
What is the highest salary a QA can get , specially SDET roles ?
How can testers upskill and plan to fully utilize the capabilities of agentic AI, to ensure their career paths are future-proofed as much as possible?
How can agentic AI be used to go beyond task automation alone and fundamentally transform the role of the QA engineer?
How can AI agents handle automation with data privacy related to the company ?