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182
Joined
3 yr. ago

  • There's a huge difference between copy-pasting code you don't understand and using a library with the assumption that the library does what it says on the tin. At the very least there's a clear boundary between your code and not-your-code.

  • Are you seriously trying to equate "I don't know which instructions this code is using" to "I copied code I don't understand"? Are you seriously trying to say that someone who doesn't know how to write x = a + b in assembly doesn't understand that code?

  • If you’re adding code you don’t understand to a production system you should be fired

    Edit: I assumed it was obvious from context that I’m referring to copy-pasting code from stack overflow or an LLM or whatever without knowing what it does but apparently that needs to be said explicitly.

  • I guess I just don't see enough memes to have picked up on that

  • Marketing. People expect to see different things on a website vs Twitter/X so the same content won't perform the same on each. So for a business it makes sense to post different things on your website vs Twitter/X.

  • I’m not sure what to tell you. I just don’t see what you do. And I never bother to look at a meme close enough to notice the kind of details the other user pointed out.

  • How can you tell?

  • What I mean is, from the perspective of performance they are very different. In a language like C where (p)threads are kernel threads, creating a new thread is only marginally less expensive than creating a new process (in Linux, not sure about Windows). In comparison creating a new 'user thread' in Go is exceedingly cheap. Creating 10s of thousands of goroutines is feasible. Creating 10s of thousands of threads is a problem.

    Also, it still uses kernel threads, just not for every single goroutine.

    This touches on the other major difference. There is zero connection between the number of goroutines a program spawns and the number of kernel threads it spawns. A program using kernel threads is relying on the kernel's scheduler which adds a lot of complexity and non-determinism. But a Go program uses the same number of kernel threads (assuming the same hardware and you don't mess with GOMAXPROCS) regardless of the number of goroutines it uses, and the goroutines are cooperatively scheduled by the runtime instead of preemptively scheduled by the kernel.

  • Key point: they're not threads, at least not in the traditional sense. That makes a huge difference under the hood.

  • Really? Huh, TIL. I guess I've just never run into a situation where that was the bottleneck.

  • Definitely not a guarantee, bad devs will still write bad code (and junior devs might want to let their seniors handle concurrency).

  • It’s safe to assume that any non-trivial program written in Go is multithreaded

  • You can also just tell GitHub to not do that.

  • Unless I have an external monitor, keyboard, and mouse, using an external keyboard with a laptop is a shitty experience for me. And if I’m at home and trying to get work done, I’m using my desktop PC.

  • Why are you memeing about me? I don’t appreciate being made fun of.

  • If your job is to make websites and you make sites that don’t work on a browser that has over 100 million users you’re not doing your job.

  • If you actually have deep knowledge in a specialty, then you describe yourself as that specialty. ‘Full stack engineer’ coneys that you don’t have a specialty/are a master of nothing/your skills are _ shaped.

  • Experience != expertise or skill. I have never met someone who was actually good at both. Maybe if your backend is just some SQL queries. I am a backend engineer and I’m adequate at front end but I’d never hire someone whose skills were merely adequate unless I thought they had the potential to reach ‘good’.

  • Scripting languages being languages that are traditionally source distributed.

    • Source distributed means you can read the source if it hasn't been obfuscated. OTOH, it is trivial to decompile Java and C# so this isn't a real difference for those languages (which happen to be compiled languages). So it's only relevant for languages specifically compiled to machine code.
    • Source distributed means the recipient needs to install something. OTOH, Java and C#, again.

    So the only ways that the distribution mechanism matter are really a difference between How does the distribution mechanism matter beyond that? And even those points are

    They tend to be much easier to write

    I'm assuming you are not saying "real" languages should be hard to write...

    run slower

    Objective-C and Go run slower than C and they're all compiled languages. Sure, an interpreter will be slower than a compiled language but modern languages aren't simply interpreted (i.e. JIT, etc).

    often but not always dynamically typed, and operate at a higher level

    There are dynamically typed compiled languages, and high level compiled languages.

    It’s not a demeaning separation, just a useful categorization IMO.

    Calling one class of languages "real" and another class something else is inherently demeaning. I wouldn't have cared enough to type this if you used "compiled vs scripting" instead of "real vs scripting". Though I disagree with using "scripting" at all to describe a language since that's an assertion of how you use the language, not of the language itself. "Interpreted" on the other hand is a descriptor of the language itself.

    As someone who loves C there are lots of languages that seem too limiting and high level, doesn’t mean they aren’t useful tho.

    I personally can't stand Java because the language designers decided to remove 'dangerous' features like pointers and unsigned integers because apparently programmers are children who are incapable of handling the risk. On the other hand I love Go. It's high level enough to be enjoyable and easy to write, but if you want to get into the weeds you can.

  • That line is blurring to the point where it barely exists any more. Compiled languages are becoming increasingly dynamic (e.g. JIT compilation, code generation at runtime) and interpreted languages are getting compiled. JavaScript is a great example: V8 uses LLVM (a traditional compiler) to optimize and compile hot functions into machine code.

    IMO the only definition of “real” programming language that makes any sense is a (Turing complete) language you can realistically build production systems with. Anything else is pointlessly pedantic or gatekeeping.