This sounds like the antithesis to parse, don’t validate. It is possible to use just maps and strings and get a “stringly typed” program, but there’ a bunch of downsides to it too:
- your typechecker can’t help you if you used the wrong
dict[str, Any]
; most of us want the typechecker to help us write correct code - there’s no public/private
- everything you
.get
from a map isOptional
; you need to be constantly checking and handling that rather than being able to have methods that returnT
, or even direct field access - you can derive or hand-implement a bunch of operations on (data)classes that you can’t on maps: Comparison, ordering, hashing so you can use the blob of information as a map key, …
Ultimately while Hickey has a good point in the distinction between easy
and simple
, his ideals don’t seem particularly aligned with the programming world at large: For one thing, Clojure remains pretty small, but even other dynamic programming languages like Javascript and Python have been moving towards typechecking through Typescript and typing in Python.
Doing a json.load
into some dict[str, Any]
is simple, but actually programming like that isn’t easy. Apparently a lot of programmers find value in doing the extra work to get some stdlib or pydantic dataclasses. Most of us get a confidence boost from using parsed data, and feel uneasy shuffling around stuff that’s just strings and maps.
Also not having used Java for decades I’ll not comment on the state of their abstractions, but
both reminds me of similar complaints against C++ (and with a sizeable amount of users wishing for an ABI break), and how weird it is to get both complaints like that and over the fact that so many shops are on ancient versions. They’ve moved slowly, but it doesn’t seem like anything was slow enough for a lot of shops, which indicates they likely could’ve moved faster without changing which versions users would be at today.