With Klaudia Dussa Zieger I talk about where language models actually deliver in testing and where they fall flat. We get into the concrete details: why a small function like generating keyword documentation works so well with a standard chat model, why reviews only started working once they switched to a reasoning model, and why one engineer working on embedded legacy code said no to AI help without hesitation. Klaudia also shares the translation use case I found most vivid, turning a cryptic technical defect message into something a domain tester can actually read.

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