Question of the Week is here — and this one’s spicy!
Agentic AI — AI that can plan, execute, and self-correct test runs without human input — is the hottest topic in QA right now.
This week’s question: Have you experimented with autonomous AI test agents? Do you trust them enough to run in a production pipeline, or is human oversight still essential?
This is one of the most debated topics in modern QA — we want your take!
How to participate: Reply below. No wrong answers — we want honest opinions! Upvote the takes you agree with.
Use AI agents for exploratory testing, test generation, and self-healing scripts, but keep human-in-the-loop for production deployments until you have robust evaluation systems, policy-as-code guardrails, and continuous telemetry
I’ve experimented with autonomous AI test agents, and I’m impressed by how much they can accelerate exploratory testing, regression coverage, and test maintenance. The ability to plan, execute, and self-correct is a real step forward.
Agentic AI is powerful enough to assist in production pipelines—but not trustworthy enough to own them. Yet.
At this point of I don’t fully trust them to be part of production pipelines.
There is much more improvement needed.