People love the unifying abstractions underneath these types, and they love developing instincts about how to write code based on them, but from an application programming point of view, their instincts are often counterproductive. I don't think people take a mathematical enough viewpoint. The abstractions can't tell you what is important and unimportant. They can't tell you how your code should be shaped. They can't tell you which values should be transformed further and which should be short-circuited. They can't tell you which values deserve to be given a name for readability and which values should be anonymous.
"All these values are monads, so I can combine them with a for expression" is a meaningless statement of a trivial mathematical fact, not a clue about how you should write your code.
I think error handling code can be written in a straightforward style, but it isn't as pretty as people would like. I think the trap they fall into is holding onto elegance while they reach for correctness, instead of holding fast to correctness while they reach for elegance.
Anyway, a pattern I've started to use in Haskell with ExceptT is along the lines of
handledIo = runExceptT $ do
failable <- someIo
can_handle <- anotherIo failable `catchError` handlerOfSubsetOfExceptionsOrRethrows
return $ updateState can_handle
So the code still remains legible (minus the plethora of Haskell operators, data wrappers and unwrappers :)), I can trap individual exceptions along the way, which I can handle. And at the end unhandled exceptions are returned by the function as Left. try {
doSomethingElse(x)
doSomethingElseAgain(x)
onceAgain(x)
} catch {
...
}
where each method just returns Unit or throws exception? The version with IO/Future is superior since it at least explicitly states that you can get an error here. If you want to say that Go-style error handling is better because if forces errors handling, I can kind of buy it, but it also has some cost.>You don't have while/if-else/etc
Maybe you are looking for ifM/whileM functions from e.g. here: typelevel.org/cats/api/cats/Monad.html.
One strategy I find does slightly mitigate this is to use future.transformWith[S](f: Try[T] => Future[S]). This at least presents to you the opportunity to think about error handling a bit more consciously, but I still find that the chaining operator approach nudges you away from thinking about error handling because it becomes quickly difficult to read.
It's probably to do with how limited the control structures are when dealing in Futures. You don't have while/if-else/etc, you must lift all your control into flatMaps and iterations are only doable via recursive calls with explicit accumulator state (yuck!) and nesting. So whereas a properly thoughtful treatment of error cases in synchronous code may take 20 or 30 lines of legible code, this gets tranformed in the async style to 20 or 30 levels of nested callbacks and recursive calls which becomes unreadable.