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Comment by champagnepapi | Hacker News Reader

Unfortunately the software industry is saying things like "don't look at the code", "LLMs have made developers 10-100x faster", etc. The only way they can make such claims is by saying what you said above: "Claude, make me Microsoft Flight Simulator, make no mistakes". Additionally engineers are facing pressures via deadlines to work in the paradigm of "Claude, make me Microsoft Flight Simulator, make no mistakes"...

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The question i wonder about is, when will an event come along that persuades everyone that human understanding is still required? Or will it never come?

Such an event would have to be pretty catastrophic at this point to slow down the inertia. Perhaps the tech debt will just pile up until someone's product implodes, or there's a massive safety issue that causes loss of life, or some big hedge fund goes bust.

I wonder the same thing. I think we've already seen some of this happening, however the consequences haven't been large enough to the organization, for example:

- https://www.theguardian.com/technology/2026/mar/20/meta-ai-a...

- https://tech.yahoo.com/articles/ai-code-wreaked-havoc-amazon...

- https://alexeyondata.substack.com/p/how-i-dropped-our-produc...

We can only hope that engineers working in safety critical systems haven't fallen to these working conditions.

As long as people keep gaslighting by sayting those events are just "skill issues," I doubt there will sadly be a catalyst.

Yeah, this will never happen until governments step in and cause these companies real pain. I mean just look at Crowdstrike. They caused billions and billions in economic damage due to their incompetence, and nothing happened. In fact, their stock is close to an all time high.

That question makes me think about Boeing. Or NASA. Or Enron. Reality always wins, no matter what management and Investor Relations says.

It makes me think about The Terminator.

The event could be when fair pricing comes from the model providers. We're still at the cash burning stage. When the economy crashes a little and departments start monitoring their spending, and the prices for inference are 10x what they are, there will be less tolerance for employees to substitute constant AI usage for understanding.

You're assuming that LLMs entered a world of people who understood how the systems they're inside of work, why they're setup that way, and that LLMs are displacing them. I sadly don't think that's the case in... well... a lot of the cases.

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