Productivity of Rust teams at Google
Productivity of Rust teams at Google
Slide with text: “Rust teams at Google are as productive as ones using Go, and more than twice as productive as teams using C++.”
In small print it says the data is collected over 2022 and 2023.
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if random() > 0.5: x = 2 else: x = "hello"Where is the definition of x? What is the type of x? If you can't identify it, neither can the LSP.
This kind of thing actually happens when implementing interfaces, inheritance, etc. Thus, LSPs in dynamic languages are best effort both theoretically and in practice.
Tbf this example can be deducted as
string | intjust fine.The real problem is when you start using runtime reflection, like
getattr(obj, "x")
- Look at entire file instead of snippet.
- If there is anything that could create a variable x before this area, then that's where x originates. If not, and if it's a language where you can create x without using a keyword like let or var, then x is created in the scope in your snippet.
Types are not necessary at all.
then x is created in the scope in your snippet
Saying "x is defined somewhere in the entire program" isn't satisfactory to many users. Also, you didn't tell me what type x has. Can I do
x + 5?- That isn't what I said at all. Reread?
- Find references / go to definition / rename has absolutely nothing to do with types.
Find references / go to definition / rename has absolutely nothing to do with types.
It absolutely does. Without static types an IDE/LSP can't reliably find all the references / definition and therefore can't refactor reliably either.
Consider something like this:
class Foo: bar: int class Baz: bar: str def a(f: Foo) -> int: return f.bar + 1 def b(f: Baz) -> str: return f.bar + "1"Now imagine you want to rename
Foo.baror find all references to it. Impossible without the type annotations.Ah, I see. You're talking about object properties. I don't see any issue with finding references to variables, but for properties, yeah.
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