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#Coding

49 posts42 participants1 post today

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i’ve been using cursor for a while, but i tried zed recently and damn, i’m hooked.

they’ve come a long way, not too long ago they didn’t even have git stuff, #AI tools, or auto-closing tags.

now it’s a super fast, fully loaded, and really vim-friendly editor that i’m loving.

Are there any guided projects someone could do to learn basic coding? Like a game, or somethimg like that?

I am looking for that specifically because I know an autistic person who needs a goal in order to learn things - there needs to be a problem that they can troubleshoot, instead of useless list of tasks that don't make sense in a class structure.

The neurotypical learning way is failing and frustrating them greatly.

Help? Please share!

Continued thread

I’m treading carefully of course, but it’s worth separating the artisan’s view of coding AI from the capitalist’s. The former wants to automate rote work so they can express themselves to realize their vision more quickly; the latter wants to *eliminate* artisans altogether so they can make money faster by extruding finished products directly from a machine. The latter’s greed does not invalidate the former’s desire to lighten their load.

By the way, pure “vibe coders” belong to the latter group: they are not interested in making *good* products, but only *profitable* products.

Continued thread

I feel that I owe it to myself to integrate coding AI more into my workflow, much like I would integrate a 3D printer into my artisanal workshop. As Emily Bender framed it so succinctly: #AI is automation. As long as I’m automating the rote, high-labor-low-value parts of my craft, it should be a welcome addition.

More difficult for me is the foundation of these models, which remains based on the large-scale “theft” of the written corpus on the Internet. But here again, the application to *coding* feels different: I’m not using the model to regurgitate (i.e. plagiarize) human writing; I’m using it to understand *documentation* so the model can extrude *code snippets* and perform *code transformation*, both of which are a few steps removed from pure plagiarism. That feels more acceptable to me somehow.

I’m feeling torn about the use of #AI in coding, especially now that models (especially “reasoning” models) are getting good enough that they can churn out “close-enough” code for a lot of uses. Products like Claude seem to be doing an OK job in rote tasks like churning out code scaffolding, implementing standard patterns, and refactoring; as well as doing the reverse: summarizing and explaining code, and giving examples.

Unlike chatbots and image/video generators whose primary output are various forms of harmful bullshit, I can’t reject coding AI the same way I can those other applications. The result of coding AI are *functional* and are in fact code that I would otherwise have written myself in much the same way. It may be because computer code is much more restrictive than human language that this is possible, because the room for *plausible* bullshit is so much less.

Oh boy ...

I switched @novelwriter to Qt6 on the recent 2.7 release, and that has caused sooo many problems with the AppImage.

I spent 7-8 hours yesterday trying to fix things, but AppImages are horrible to work with when you can't just use one of the standard tools that does everything for you.

... and now I hate AppImages.

#Coding#Python#Qt