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submitted 2 months ago by [email protected] to c/[email protected]

Original post: hachyderm.io (Mastodon)

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[-] [email protected] 29 points 2 months ago

Have you tried to use AI for documentation? It's pretty shit.

[-] [email protected] 15 points 2 months ago* (last edited 2 months ago)

Have you tried to use AI for <thing>? It's pretty shit.

[-] [email protected] 4 points 2 months ago

Translation, proofreading, summarizing, brainstorming, boilerplate code, protein folding...

[-] [email protected] 4 points 2 months ago* (last edited 2 months ago)

protein folding

We’re at the point where, due to how b2c tech services work, I think a lot of people think AI === LLM

[-] [email protected] 8 points 2 months ago* (last edited 2 months ago)

I've used AI to give me a good enough guess that I know the right keywords to search for too find the real documentation.

[-] [email protected] 2 points 2 months ago* (last edited 2 months ago)

How about this:
Humans (or humans assisted by AI) write documentation
Users (devs included) can either choose to read the manual the old fashioned way or utilize it like a sort of swagger api documentation to give

  1. Information to a question (How to do x)
  2. Provide a general example
  3. (Assuming it's used with an IDE or has information about the project) Provide a personalized example on the implementation.
[-] [email protected] 1 points 2 months ago

I’ve had pretty good experience with using AI to find what I’m looking for in documentation, especially if the docs are in context

[-] [email protected] 18 points 2 months ago

I think they mean having an AI read code and then write documentation for it. Not having an AI read documentation.

this post was submitted on 21 Mar 2025
683 points (99.4% liked)

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