• 5 Posts
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Joined 2 years ago
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Cake day: August 19th, 2023

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  • It’s because a lot of the way humans go about their life is based on traditions. Getting everybody to switch from a system that already works pretty well is just a hassle.

    Examples:

    • English spelling is faaar from phonetic and children take longer to learn how to spell than in Spanish for example. (though, cough, enough, plough instead of something like thouğ, koff, enaf and the US plow)
    • Metric system adopted globally would streamline a lot of global industries that have no cater to each system.
    • Driving right side everywhere. Sweden switched but asking India to switch makes way less sense.
    • Date formats. Arguably the best if everyone uses ISO 8601 but nobody does.

  • I also had issue when I was working on a pycharm project back when I was on windows. During setup it asked me “What’s your name?” and my name has a cheeky accent which Windows was decided should be the name of my Home folder. Home folder also has appdata and whatnon so which the build system didn’t expect to have a an accent in the folder path.

    I ended up having to create a different folder and link to it then move all the path configurations to that folder link just so I could get imports working.


  • I use Jetbrains IDEs now for 5 years, I’ve used VSCode, Sublime, Atom, Vim, Neovim but I feel like Jetbrains IDEs are just better if you have the RAM to run it.

    1. It’s a setting.
    2. Doesn’t happen
    3. Doesn’t happen
    4. Searchable actions, just search for “encoding” in this case.
    5. That’s an LSP/project mismatch usually just a setting. Most things are supported but worst case you can remove the error.
    6. Happens if you run out of RAM or open a very large file.

    So it’s not all bad, but comes with a lot of good such as “invert if statement”, “use template strings” and “extract method” thingies along with a load of plugins.




  • Don’t get me wrong, I still write more than 98% of code by hand and of course, I can write those functions myself in 30m myself but I can get it in 60s with the AI. LLMs can write code to that does parse - > model - > map - > format with only one or two easy to fix bugs.

    It’s in the very niche cases where it’s just tedious to write something out that LLMs actually work. “Write an API client that uses [library] that handles these requests/responses” comes also to mind as something that would work.

    I’m using now also to learn react native where I get bugs I’m very unfamiliar with and SO doesn’t give me a good answer.

    I’ve also had decent success at having it review my code with “how would I further optimise this code” and it gives me some pointers and then writes buggy code but the approach is correct usually and I can implement it myself.