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But then the LLMs aren't adding new information, they're just reading your code and translating that information from e.g. python to english. Rather than sending someone an LLM-generated doc to someone, send the code and your own personal thoughts on the code. If your reader doesn't want to read and understand your code, they can ask an LLM to analyze it, within the context of their specific use case and your personal thoughts if any.

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> e.g. python to English.

You're making a big assumption that the code is what is being executed, and not a compiled binary.

Where is the code: My repo? the clients? If it's in mine, the client does not have access and the CLI is a first stop to debugging. They arent in the context of written docs, more likely a production error from a log (thats now spitting out a message to check the CLI).

Less steps, less tools, more context in line and available in an interface your already using.

> they can ask an LLM to analyze it, within the context of their specific use case and your personal thoughts if any.

Or I can skim the man page it generated and make sure it looks good. The "work" (the tokens) dont have get spent over and over again.

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