“I need to see what the AI is doing.” That’s the most common refrain we hear from QA and engineering leaders exploring AI-driven testing. It’s not resistance to automation—it’s a demand for visibility. It’s not helpful to have a black box deciding what to test, how to test it, or what counts as a pass or fail. As one engineer put it, “If I can’t read the code itself, I don’t really know what’s happening under the hood.” Another said bluntly, “When the tool hides feedback, it just creates more pain.” There’s also a deeper concern: “If AI goes down the wrong path and people have become over-reliant, they forget how to fix it.” When systems become opaque, reliability erodes, and so do human skills. The future of QA calls for AI tools that deliver deterministic, interpretable code you can read, logic you can trace, and results you can defend. AI should accelerate testing, not obscure it. The moment visibility disappears, so does trust. To read more on codeless AI tools, click the link in the comment below #ai #aitesting #softwaretesting #softwaredevelopment #cto
What makes me think is that our nervous system is also opaque (so far at least). What do we do to "fix" wrong paths? Do we go for external intervention, like "education", "manipulation", brainwashing... Or do we try to fix synapses and lobes? Not a provocation, just thinking out loud
QA Wolf•1K followers
5moRead about codeless AI tools here -> https://www.qawolf.com/blog/tests-dont-guess-why-you-shouldnt-trust-codeless-ai?utm_source=linkedin&utm_medium=post&utm_campaign=AIQA_Engagement_Blog_AIBlog_TestsDontGuessWhyYouShouldntTrustCodelessAI_None_None_16x9_20251022_v1_+Sequence%3A_