alt Hacker NewsA non-trivial part of the big difference between the juniors that seem talented and "get it", and those that don't is precisely their ability to form accurate enough world models quickly. You can tell who is going at the "physics" of software and applying them, and who is just writing down recipes, and doesn't try to understand the nature of any of the steps.
It's especially noticeable when teaching functional programming to people trained in OO: Some people's model just breaks, while others quickly see the similarities, and how one can translate from a world of vars to a world of monads with relative ease. The bones of how computation works aren't changing, just how one puts together the pieces.
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I was even as a junior the kind, who tried to understand the nature of the steps. I failed many times, but I learned from them all the time. I remember my mutable public static variables, and terrible small JavaScript apps. But every time when I did something like that, I tried to understand it. I knew that I failed. Sometimes it took me a year or more (like when I first encountered React about a decade ago, I immediately knew why some of my apps failed with architecture previously).
However, I've seen developers who were in this field for decades, and they still followed just recipes without understanding them.
So, I'm not entirely sure, that the distinction is this clear. But of course, it depends how we define "senior". Senior can be developers who try to understand the underlying reasons and code for a while. But companies seem to disagree.
Btw regarding functional programming. When I first coded in Haskell, I remember that I coded in it like in a standard imperative languages. Funnily, nowadays it's the opposite: when I code in imperative languages, it looks like functional programming. I don't know when my mental model switched. But one for sure, when I refactor something, my first todo is to make the data flow as "functional" as possible, then the real refactoring. It helps a lot to prevent bugs.
What really broke my mind was Prolog. It took me a lot to be able to do anything more than simple Hello World level things, at least compared to Haskell for example.
I've always had excellent model building functionality for abstractions and got the "physics" of a subject rather quickly, be it economics, biology, certain mathematical subjects and more.
Then, I met software and computer science abstractions, they all seemed so arbitrary to me, I often didn't even understand what the recipe was supposed to cook. And though I have gotten better over time (and can now write good solutions in certain domains), to this day I did not develop a "physics" level understanding of software or computer science.
It feels really strange and messes with your sense of intelligence. Wondering if anyone here has a similar experience and was able to resolve it.
>teaching functional programming to people trained in OO: Some people's model just breaks, while others quickly see the similarities, and how one can translate from a world of vars to a world of monads with relative ease.
Besides OO -> Functional this applies everywhere else in Computer Science. If you understood the fundamentals no new framework, language or paradigm can shock you. The similarities are clear once you have a fitting world model.
Indeed. Understand the principles, you can work with just about any tool
This happened at an old employer of mine. We started to go down the FP road, veering off the standard OOP of the day. About 25% of the people picked it up immediately. About 50% got it well enough. And 25% just thought it was arcane wizardry.
Between that latter group and the bottom portion of the middle it sparked a big culture war. Eventually leading to leadership declaring that FP was arcane wizardry, and should be eradicated.