alt Hacker News> At my day job, I use AI to fix config, container, and installation issues so I can spend my time coding instead of struggling to fix mostly other people's mistakes. And really, in this age of python wheels, containers, virtual environments, and fragmented APIs, the cognitive load of doing this by hand would shut me down for the day.
I think it was a mistake to add this much complexity to the world of software in the first place, so I'd view AI as a bandaid to a problem rather than addressing the underyling issue. But on the whole, the cost of all this extra complexity, data centers to run AI to fix layers of crud and buildup don't seem to provide much of a net benefit to society (except to those who are at the top and need to see growth to pad their retirement portfolios).
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Your job would be so much harder without those supposedly complex tools. Most of those listed help solve issues with multiple environments. What simple solution is there to that.
Oh no disagreement that it was a mistake, but as Ambassador Kosh once stated "The avalanche has started, it is too late for the pebbles to vote."
I would suggest not concluding the end of this movie from the first 5 minutes of the story. But then, I really fought against complexity over my career and lost hard. One can either check out as a fossil of the good old days or adapt to the new reality. 6 months ago, AI was about to replace all the engineers and then reality slapped the C-suite hard on that subject as just one recent plot twist.