• Kerb
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      1 year ago

      Aw man, its a custom design.

      I’d love the classic animal template but with a kea holding a steppladder.

    • msage@programming.dev
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      1 year ago

      I need to buy this book!

      Though since it’s over a decade old, it will most likely be only a decoration.

      Then again, most mechanics didn’t change much.

        • msage@programming.dev
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          1 year ago

          If it describes low level mechanics, it’s still as relevant as ever.

          GUI is nice, but the game is still too complex for any user interface, and understanding it visually may not always be easy.

  • Eylrid@beehaw.org
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    1 year ago

    Finally an up to date edition! I’m still using the old book, Copying and Pasting from StackOverflow

  • nibblebit@programming.dev
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    1 year ago

    Hey! Why don’t you try to build a basic github action from scratch and deploy it 40 times before it’s green, waiting 10 minutes between builds to discover how each task creatively interprets directory path notation!

    • baum@programming.dev
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      1 year ago

      This is so true, I use copilot for things like actions and dockerfiles so I don’t feel an urge to bash my brains out more than I use it for code gen

    • ruffsl@programming.dev
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      1 year ago

      Get out of my head! Out I say!

      You’d think there’d be a better way of testing CI configs locally, like using selfhosted runners, but no, they need me to push changes to origin so that GitHub can then trigger the job on my local docker host. At least CircleCI gave us CLI to validate and partly run jobs from config files locally, … but only partly.

  • Sleeping@programming.dev
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    1 year ago

    I wonder if someone has already created a bot that asks chat-GPT to create a piece of code, grabs it to try and run it, and then just goes back and forth with chat-GPT to fix the errors. Now the code would probably be a complete mess, but I wonder if non-coders could use it to create helpful one-off tools they can’t find anywhere else.

    • Deebster@lemmyrs.org
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      1 year ago

      It definitely exists - there’s something that goes:

      1. generates code
      2. feed code back in and ask ChatGPT if it has any bugs (yes/no answer)
      3. if no, done, otherwise feed code back in and ask ChatGPT to fix it
      4. goto step 2

      I can’t find the link now, but you might also be interested in Auto-GPT.

  • Smorty
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    1 year ago

    Getting your data sold, at light speed

  • meli nasa@feddit.de
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    1 year ago

    New: AI-powered unit testing framework that automatically corrects your code so that all tests pass! Perfect to integrate into your CI pipeline to run before deploy!