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Joined 5 months ago
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Cake day: June 12th, 2024

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  • For me, as primarily a backend dev, the argument was that it’s a framework, unlike React, so you get an everything-in-one solution which is quite easy to setup and use.

    Given that Google still hasn’t killed this one yet, it’s also a mature platform with plenty of articles online on how to use it.

    IIRC the license was also better than React’s, at least last time I checked.

    Not sure on what the landscape looks like today, but when I was making the choice, the internet didn’t seem to consider other solutions to be competitive with either React or Angular.







  • It’s only as incomprehensible as you make it.

    If there are 6 subfunctions, that means there’s 6 levels of abstraction (assuming the method extraction was not done blindly), which further suggests that maybe they should actually be part of a different class (or classes). Why would you be interested in 6 levels of abstraction at once?

    But we’re arguing hypotheticals here. Of course you can make the method implementations a complete mess, the book cannot guarantee that the person applying the principles used their brain, as well.




  • You’re nitpicking.

    As it happens, it’s just an example to illustrate specifically the “extract to method” issues the author had.

    Of course, in a real world scenario we want to limit mutating state, so it’s likely this method would return a Commission list, which would then be used by a Use Case class which persists it.

    I’m fairly sure the advice about limiting mutating state is also in the book, though.

    At the same time, you’re likely going to have a void somewhere, because some use cases are only about mutatimg something (e.g. changing something in the database).





  • It makes me sad to see people upvote this.

    Robert Martin’s “Clean Code” is an incredibly useful book which helps write code that Fits In Your Head, and, so far, is the closest to making your code look like instructions for an AI instead of random incantations directed at an elder being.

    The principle that the author of this article argues against seems to be the very principle which helps abstract away the logic which is not necessary to understand the method.

    public void calculateCommissions() {
      calculateDefaultCommissions();
      if(hasExtraCommissions()) {
        calculateExtraCommissions();
      } 
    } 
    

    Tells me all I need to know about what the method does - it calculates default commissions, and, if there are extra commissions, it calculates those, too. It doesn’t matter if there’s 30 private methods inside the class because I don’t read the whole class top to bottom.

    Instead, I may be interested in how exactly the extra commissions are calculated, in which case I will go one level down, to the calculateExtraCommissions() method.

    From a decade of experience I can say that applying clean code principles results in code which is easier to work with and more robust.

    Edit:

    To be clear, I am not condoning the use of global state that is present in some examples in the book, or even speaking of the objective quality of some of the examples. However, the author of the article is throwing a very valuable baby with the bathwater, as the actual advice given in the book is great.

    I suppose that is par for the course, though, as the aforementioned author seems to disagree with the usefulness of TDD, claiming it’s not always possible…


  • You seem to think that “open source” is just about the license and that a project is open source if you’re allowed to reverse engineer it.

    You have a gross misunderstanding of what OSS is, which contradicts even the Wikipedia definition, and are unwilling to educate yourself about it.

    You suggest that Mistral would need to lend us their GPUs to fit the widely accepted definition of OSS, which is untrue.

    You’re either not a software engineer, or you have an agenda.

    Because of this, I will not be continuing this conversation with you, as at this point it is just a waste of my time.



  • But then it’s the tools to make the AI that are open source, not the model itself.

    I think that we can’t have a useful discussion on this if we don’t distinguish between the source code of the training framework and the “source code” of the model itself, which is the training data set. E.g, Mistral Nemo can’t be considered open source, because there is no Mistral Nemo without the training data set.

    It’s like with your Doom example - the Doom engine is open source, but Doom itself isn’t. Unfortunately, here the analogy falls apart a bit, because there is no logic in the art assets of doom, whereas there is plenty of logic in the dataset for Mistral - enough that the devs said they don’t want to disclose it for fear of competition.

    This data set logic - incredibly valuable and important for the behavior of the AI, as confirmed by the devs - is why the model is not open source, even though the training framework might be.

    Edit:

    Another aspect is the spirit of open-source. One of the benefits of OSS is you can study the source code to determine whether the software is in compliance with various regulations - you can audit that software.

    How can we audit Mistral Nemo? How can we confirm that it doesn’t utilize copyrighted material to provide its answers?