As a user, I’d prefer “correct but lacking composability” over “composable but sometimes my results will be silently wrong”.
What is Julia’s composability useful for if it leaves me unable to trust my results?
What is Julia’s composability useful for if it leaves me unable to trust my results?
But some of the examples in OP of non-composability are where edge cases (not all cases) will give you the wrong answers. In the worst case, in ways that aren't immediately obvious.
I think it's too optimistic to say that you just need to know that you should write some integration tests and then write some easy and obvious ("not especially hard") ones, and then you'll always catch these easily and early.
I don't actually even see any evidence here that these sorts of bugs are more common or more insidious than any other sort of bug, rather it looks to me that since dispatch-based composability is a bit of a new phenomenon, people haven't always been on the lookout for these bugs yet, or learned the patterns of where and what to test for to find them -- but once you've seen a few cases, patterns start appearing and it becomes more clear what you need to test, just like anything else.
The broader issue to me is that I think people often underestimate the degree to which Julia is a fundamentally different programming paradigm than any other language most people have used before (unless you've spent a lot of time in maybe CLOS or Dylan) -- there's not even an agreed-upon name for it, but I'd call it "dispatch-oriented programming". Often times people will come in to Julia expecting all their expertise and intuition from class-based OO or whatever other paradigm to just effortlessly transfer to Julia, and that's really not the case, which tends to lead to frustration.
I think I was wrong. Moving to typescript has been a revelation for me, because I find I need far fewer tests to make working code. (And my code so often just works as soon as it compiles!). I can code much more fearlessly.
Rust is similar. By the time the borrow checker has sufficiently bruised my ego, my rust code often just works. And thats a joy.
What I'm hearing is that Julia is more like javascript and C, and less like typescript and rust. That in Julia you need to be more paranoid around correctness - because you can easily compile a binary that produces incorrect results. You need extensive integration tests to guard against that, because its not enough to know that two libraries work individually and compile together. They need to also be tested together or they might silently do the wrong thing.
That sounds like a bad experience. Honestly, that sounds worse than javascript. At least in javascript, type errors almost always result in instant crashes with a useful stack trace. You say testing Julia code isn't hard, but that doesn't mean I want to do it. Building a stone wall by hand isn't hard either, but I'll take my desk job every time.
Just to make sure we're on the same page though, it's perhaps worth clarifying that this particular integration issue isn't something you have to worry about every time you use two packages together (far from it), it's only in the case where you're trying to use a custom type from one package (e.g., one which replaces base Arrays or base Numbers or such) in functions from another package.