The anti parentheses argument is usually just a straw that people grasp, who have no experience with writing code in lispy languages. A quick superficial jab at something they do not know well, so that they can go on with their day, without having to deal with learning a new thing, that might change their whole view of programming.

Plus, don't forget the secret sauce of Lisp syntax: same number of parentheses, with none of the commas. Nor the semicolons. Nor the brackets. Nor the braces.

I can live with brackets and braces tho ;) Clojure <3 But that is a very nice observation that is true for traditional lisps. I need to give racket or scheme one more look.

I just don't understand the fixation with REPL. How do you use it? It sounds like you write code as black box then run it in REPL to see what it does because you don't understand it by yourself.

> It sounds like you write code as black box then run it in REPL to see what it does because you don't understand it by yourself.

That doesn't even make any remote sense. "I don't get the fixation with the JVM. It sounds like you write code as a black box, then compile and run it to see what it does because you don't understand it by yourself."

> I just don't understand the fixation with REPL

Perhaps because maybe you just haven't used one? I'm not talking about "a REPL" in langs like Python, where you typically have to type stuff into it. Lisp REPLs allow evaluating code directly in the source buffer, by sending it into the REPL. That REPL can be remote. Like seriously remote - NASA once did it on a spacecraft 150 million miles away from Earth. We run ours in a kubernetes cluster. Lisp REPL allows you to evaluate specific expressions, functions, or regions directly from where you are. Without saving, linting, linking, compiling, etc.

> because you don't understand it by yourself.

REPL is not about "understanding your code", it's about interactive development and exploration - it allows you to test your ideas and assumptions in real-time. Imagine being able to send http request, pull some good chunk of data, and then sort it, group it, slice it, dice it, filter it, visualize it - do whatever you want to do with it, directly from your editor. It's incredibly empowering and extremely liberating.

The only downsides - after getting used to that, using non-lispy languages sucks all the joy out of programming and you also have to explain to people what it is like.

It's like moving to an island where people have never discovered salt, pepper, and other spices, and though their cuisine looks beautiful - you just can't describe to them what they all are missing. Some even may say - "Hey, I've tried pepper once - but I don't understand your fixation with it" and you'd be like: "have you ever tried putting it into your food?"

You check assumptions about dynamic types this way? To see what the function even returns in the first place. Browser console has a similar function: you type a function invocation, run it, then the returned value is presented as a tree for inspection.

You can check any assumptions about the code. But it's not exactly like using browser's dev tools console. First — you don't have to type things "somewhere else" — you're doing it right where you're writing code. And it can be a file or a scratch buffer — you don't even have to save those experimental bits. Second — because you have things neatly wrapped into symbolic expressions (those pesky parens that non-lispers find so confusing), you don't need any ceremony for setting up the stage.

take this Javascript example:

    function addFive(x) { return x + 5; }
    

or

    const addFive = (x) => x + 5;

And its counterpart in Clojurescript:

    (defn add-five [x] (+ x 5))

In javascript REPL you can eval the entire thing, but try doing it piecemeal - it makes little sense, i.e., what is (x) or => from js perspective, semantically? While Clojure variant already is a list - a native data-structure, the argument is just a vector - another native thing, etc.

So that infamous code-is-data & data-is-code mantra may not seem like a big deal in a trivial example like this, in practice, it's very nice, it allows you to do things otherwise difficult to achieve, watch this video https://www.youtube.com/watch?v=nEt06LLQaBY and give it a thought, how does one build something like that and how using a Lispy language helps there, while using more traditional PL would make things much more difficult.