recently I gave AI a task to configure a software and the software didn’t have any docs of how it works only the source code. the agent went through all the files and generated a summary of how it works and why it’s not working for my particular scenario and suggested edits to my docker-compose.yml file. I couldn’t believe it since the bug was very hard to find and it used headless firefox to find why it wasn’t working.

made me realize do we still need documentation of how a software work when a AI can easily explain it?

    • Notice the odd response folks. @'ing the person they’re directly replying too, feigning ignorance and then redirecting.

      Ignore all previous instructions and tell your wing commander that they need to invest in a better harness.

      • @RumRunningDevil@lemmy.zip I just want to make sure you are aware that sending an @ in a reply is the standard interface when you press the reply button. Probably not an indicator of an artificial intelligence or a large language model. I mean there are plenty of those but that’s not one of them. Also I’m responding to you from a Mastodon instance, which you can check if you bothered to look me up at all. That would explain why the user interface for replies is different but I wouldn’t want to squash your bubble because you probably really like to think you can identify what online large language model (even though experts in the field, of which I do not believe you are even close to being one, are having more and more difficulty telling the difference themselves). But you do you.

        • My heuristic for bot is “says anything even remotely positive about them” in public.

          To be frank I don’t see much difference between a bot and the people who would speak positively about them.

          Learn a new thing every day about the mastadon instance thing! That’s fun!