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Hello and welcome to this week's Better Offline monologue.

I'm your host at Zittron.

I heard something really worrying the other day about a major hyperscaler.

According to the source, said hyperscaler was allowing and even encouraging non-technical

workers to deploy code to consumer-facing products, specifically those who cannot read or write

code, vibe coding their own projects using generative AI,

with their code at some point theoretically reviewed by an actual software engineer before it gets pushed to production.

The cold comfort of that review is that it assumes that software engineers, or at least the ones reviewing that code,

are actually adept at code review.

Or even if they are are that they have sufficient time

to look over the overly verbose code that LLM spew. In some cases, I've heard, management is

actively encouraging and even mandating these non-technical workers to use LLMs to make these features,

creating a mutation of tech debt where somebody who cannot code uses a machine that doesn't think to create code with no intention that nobody really understands,

and does so at such a velocity that it burdens the actual technical workers with constantly having to monitor and fix it.

LLMs do not understand anything, nor do they think, which means any solutions they build or theoretical bug

reports that they may make are immediately questionable. Their hallucinations are such that even

features you believe are part of your code. After all, you can't read it, might not be there,

or might be poorly designed, or might have some sort of unforeseen problem that neither you nor the

LLM are aware of, because its training data is based on

...