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I'd wager that in the next 96 hours, with a LLM, someone could create a translator that would 'pack' a nginx or caddy configuration file into the relevant code that zeroserve could use. Or even more simply, just pickup all the Ingress manifests in a kubernetes cluster and rebuild the pack. The point being, the interface between the tool and the configuration is just another API, system operators are already describing the state of the system at higher level constructs, and the specific bytes that make up the configuration are an artifact of that.
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What about abstracting the complexity and achieving "config file" configuration with macros?
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I suspect it's worth exploring if that will change as AI is allowing more and more "human words -> machine effect", which may be more ergonomic for the AIs. It could take a long time for that kind of shift to become clearly a good idea since the AI can make either work.
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Why are you so eager to credit LLMS.. Just because they wrote the article with the help of an LLM doesnt mean they're out here having LLMs do the experiments for them.
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because it makes it easy to create/reverse engineer projects/explore on a whim without putting up a lot of time

LLM enables a lot of good output if you know what you are doing

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Bayesian inference suggests otherwise.
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