Readability of types can become an issue over time, but with the right naming of interfaces and useful type aliases, that can be mitigated to some extent. And as the typescript language and community evolve together, there are new ways to make some types even more readable - I've seen generics for getting the return type of a function, which seems potentially really useful (and some people swear by; I haven't used them extensively, but it looks like a promising idea).
Did you know that TypeScript’s type system is turing complete? Good luck figuring out literal bespoke type frameworks in TypeScript. Did you know you can have a TypeScript application that takes more than 8GB of memory to compile?
TypeScript is literally a Microsoft play to regain Visual Studio market share they lost by creating a language that much like C# and Java, practically speaking, requires a massive feature rich IDE for most developers to write software efficiently with.
You all fell for it, and at this point it’s too late. Millions of extra development hours will wasted maintaining legacy TypeScript apps for years due to a Microsoft marketing stroke of genius.
There are also libraries which provide runtime type validation, such as zod or io-ts. Can only recommend; they allow that in combination with typescript's strict mode your types become completely reliable.
transform(a: number): number function transform(a: number | string): number | "" | false
And it's usually all by accident. And it works because in practice it's used with a `if (!transform(x))` check.Static typing doesn't just tell you what's going on, but it also helps you keep your implementation honest with your intent. It's also why it's a good habit to annotate top-level functions instead of relying on their inference.
function transform(a: number): number
function transform(a: string): false
function transform(""): ""
Depending on how predictable the output is from the types, of course. But for many things it works better than just using union types everywhere.> Once you are able to comfortably read type signatures, it is trivial to see what a function is supposed to do
Typing gives minimal insight into what a function actually "does".
The solution is intention revealing naming, available in all languages.
You see "Put an object with these properties and types in, get an object of this shape back out."
The beauty of types is in this black-box, abstract behavior.
You, as a library author, can define an Interface/Contract for the behavior of something completely abstractly, and other people can all use each other's implementations or contribute original ones because they obey the contract.
Think about an "Abstract class File, which implements open, read, and write."
There are a lot of ways you could write these methods but if your type signatures match the inputs and outputs they're all equally valid with predictable behavior.
Design by contract is a beautiful thing.