Breaking AI Guardrails in Minutes
The moment AI's guardrails instantly crumbled unexpectedly
Jul 8, 2026 · 40 min · 11 segments
When your system gives a different answer every time, "assuring" quality is a trap — you have to engineer it in. Janna Loeffler joins Alex and Kuba to unpack why the shift from quality assurance to…
Janna LoefflerGuest
Alex BelotskyHostKuba FiatkevichHost
So I know a lot of testers get put into that kind of bucket or given the role or title of quality assurance.

So when you say quality assurance, you have this preconceived notion that you can assure quality.

And the fact of the matter is it's hard to assure quality because you know, you don't have control over the developers, the scope, the time, the budget, all of that.

And I like to define quality engineering as kind of where the product development lifecycle and the software development lifecycle meet, kind of the glue between there.

So how do we engineer quality from the entire lifecycle of the product? You know, you hear a lot of shift left, but it's not just shift left.

So I know a lot of testers get put into that kind of bucket or given the role or title of quality assurance.

So when you say quality assurance, you have this preconceived notion that you can assure quality.

And the fact of the matter is it's hard to assure quality because you know, you don't have control over the developers, the scope, the time, the budget, all of that.

And I like to define quality engineering as kind of where the product development lifecycle and the software development lifecycle meet, kind of the glue between there.

So how do we engineer quality from the entire lifecycle of the product? You know, you hear a lot of shift left, but it's not just shift left.
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