Discussion on "Agentic AI Can Write Your Test Cases. But Can It Think Like a QA?"

Vishva Maithri · 2026-04-10T03:36:19.478Z

We've come a long way from the early days of Vibe coding, LLMs and MCPs. Today, we're stitching them together into Agents, autonomous systems that don't just assist, they act. And in the testing world

Great perspective—especially the point that speed ≠ quality.

AI can generate test cases fast, but it doesn’t question assumptions or connect edge cases across systems. That’s where real QA thinking matters.

Loved the “QX Notes” idea—feels like the right way to combine human insight with AI scale.

Glad the QX Notes idea resonated. The beauty of it is that it benefits both sides!

The human gets to think deeper, and the AI gets richer context to work with. Everyone wins.

Appreciate you reading and sharing your thoughts!

Fully agree. As Michael Bodnarchuk recently pointed out, the real challenge isn't just generating code, but ensuring its maintainability. I’ve been looking into how ai in software testing can actually solve this by focusing on orchestration rather than just raw script generation. It’s a game-changer for long-term stability: https://testomat.io/blog/ai-in-software-testing/

Good point on maintainability! That's definitely a challenge teams face as AI-generated test suites grow. Orchestration over raw generation is a solid direction.

That said, I think the bigger shift is in how we think about the role itself. Even with great orchestration, someone still needs to bring the domain context, the edge-case instinct, and the quality culture to the team. That's the QX Engineer layer that sits above any tooling.

Appreciate you reading and sharing your thoughts!

Absolutely, Vishva! I love that "QX Engineer" term—it perfectly captures the shift from 'writing scripts' to 'designing quality.'

You're 100% right: no matter how good the orchestration is, the "edge-case instinct" is purely human. Tooling can handle the repetitive execution, but it's that domain context and culture that prevent the system from just efficiently running the wrong tests. It’s all about empowering the engineer to focus on the high-level strategy rather than getting bogged down in the mechanics.

Appreciate you adding that layer to the discussion!

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Agentic AI Can Write Your Test Cases. But Can It Think Like a QA?

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