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Joined 10 months ago
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Cake day: February 15th, 2025

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  • It depends, but for me one use case is decoupling the end device from the application. We have laptops, desktops and phones in our household and rather than installing/updating every single one of them I have a central point for management, with all of the downsides of course (if the thing fails, it fails for all).

    When I add a new machine to the network, every functionality an data is already there so I don’t need to copy or install anything everywhere.




  • Was trying to be a sport and use GPT5 exclusively to write a python script that I could have whacked out in about 2 hours. The task was simply authenticating to an on-premise instance of sharepoint, reading a list of folders and documents recursively, authenticating to a cloud instance of confluence and recreating the structure as confluence pages while converting every docx to a confluence page and generating a link to the other ones.

    After 4 hours of correcting and babying it it managed to successfully authenticate and parse the file and folder structure, but didn’t implement any of the conversion and linking logic correctly. I know gpt 5 is not geared towards coding, but it’s the only thing my company has (copilot) and I had to spoon-feed it on details for the auth mechanism and parsing for example so much so that it would have need easier and faster to just do it by hand.