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propensive's profile
Jon Pretty
Jon Pretty
Jon Pretty
@propensive

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Jon Pretty

@propensive

Supporting Scala through professional training and open-source software. Responsible for Magnolia, Fury, Scala World and Functional Africa.

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propensive.com
Joined July 2010

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    1. Nicolas Rinaudo‏ @NicolasRinaudo 8 Mar 2020

      Had to work with some code I wrote a few years ago where I went maximally polymorphic for the hell of it - it was just as painful as when working with badly documented and poorly tested dynamically checked code.

      4 replies 1 retweet 14 likes
      Show this thread
    2. Jon Pretty‏ @propensive 10 Mar 2020
      Replying to @NicolasRinaudo

      This might be true, but you probably have to revisit such code less frequently, and have less of it.

      1 reply 0 retweets 0 likes
    3. Nicolas Rinaudo‏ @NicolasRinaudo 10 Mar 2020
      Replying to @propensive

      Not sure which code you mean. I do have less maximally polymorphic code than just plain bad code. My argument is not against maximal polymorphism, but against unnecessary maximal polymorphism. Why abstract over something that is always going to be concrete?

      3 replies 0 retweets 0 likes
    4. Jon Pretty‏ @propensive 10 Mar 2020
      Replying to @NicolasRinaudo

      Because often the cost of developing the polymorphic version isn't high. When you write the concrete version, and you discover you need similar functionality again, you have a choice between generalizing the first one & updating its call site and writing a new concrete version.

      3 replies 0 retweets 0 likes
    5. Tom Wadeson‏ @tomwadeson 10 Mar 2020
      Replying to @propensive @NicolasRinaudo

      This is too often a hypothetical benefit, IME, and leads us open to claims of YAGNI. I find arguments for maximal polymorphism and/or abstraction on the grounds of precision much more compelling (and more useful in practice too!) <insert-Dijkstra-quote-here>

      1 reply 0 retweets 1 like
    6. Jon Pretty‏ @propensive 10 Mar 2020
      Replying to @tomwadeson @NicolasRinaudo

      I certainly endorse those grounds. ;) But I think that being able to claim YAGNI confidently requires a lot of experience (or reading of tea leaves). There is a cost (in terms of technical debt) of being wrong...

      1 reply 0 retweets 1 like
    7. Nicolas Rinaudo‏ @NicolasRinaudo 10 Mar 2020
      Replying to @propensive @tomwadeson

      But surely you'll agree that the reverse is true? Being able to claim that you *will* need it when you don't need it now also requires a lot of experience, and there *is* a cost, in terms of technical debt, to having to maintain code that you don't actually need?

      1 reply 0 retweets 0 likes
    8. Jon Pretty‏ @propensive 10 Mar 2020
      Replying to @NicolasRinaudo @tomwadeson

      Not so much... as I said in my last (chronologically speaking; I have no idea where I am in this thread any more) tweet, I think that it's harder to write bugs in generic code.

      1 reply 0 retweets 1 like
      Jon Pretty‏ @propensive 10 Mar 2020
      Replying to @propensive @NicolasRinaudo @tomwadeson

      To try to exemplify that, the less you presume about your inputs (i.e. the more abstract your types), the less chance there is of presuming something incorrectly.

      7:01 AM - 10 Mar 2020
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Jon Pretty‏ @propensive 10 Mar 2020
          Replying to @propensive @NicolasRinaudo @tomwadeson

          You can define the most generic, parametric method, and there can be only one possible way of implementing it (typesafely). That becomes less true the more concrete your inputs are. There becomes more chance you'll have to revisit that method. That's more technical debt.

          2 replies 0 retweets 0 likes
        3. Nicolas Rinaudo‏ @NicolasRinaudo 10 Mar 2020
          Replying to @propensive @tomwadeson

          Unless your specifications are complete and immutable when you write code, the odds of revisiting *any* function are high. Specs change. Unmaintainable code *can* be worse than buggy code - you can fix a bug if you understand the code, you can't maintain code that makes no sense.

          0 replies 0 retweets 2 likes
        4. End of conversation

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