I’ve spent years inside languages that market themselves as “type safe.” Rust, TypeScript, C#—you name it. And I’ve spent just as much time in the ones that don’t bother with the sales pitch: Python, JavaScript, a healthy dose of Bash. After a while, a quiet suspicion starts to form. That warm blanket of safety the …
I’ve spent enough time in both dynamically typed and statically typed codebases to know that “type safety” gets tossed around like a badge of honor. Teams adopt TypeScript, Rust, or Kotlin and suddenly feel invincible. But here’s the thing: a lot of what we call type safety is really just type convenience. The two aren’t …
I’ve spent too much time in codebases where the type system was treated like a suggestion box. You’d see any sprinkled around like cheap salt, or a labyrinth of generics so complex that reading the function signature took longer than understanding the logic. Somewhere along the way, we confused type safety with type convenience. They …
I’ve spent a good chunk of my career bouncing between languages that treat types like a sacred contract and ones that barely acknowledge they exist. Haskell, Rust, TypeScript in strict mode—I’ve done my time. But I’ve also shipped plenty of Python, JavaScript, and even a little Clojure. The thing that keeps nagging at me is …
I’ve spent a lot of time in codebases where the word “type-safe” gets thrown around like confetti. It’s usually attached to a library or a framework that promises to make your life easier. But after a while, you start to notice a pattern: what’s being sold as type safety is often just type convenience. They …
I’ve lost count of the arguments I’ve had about type systems. The thing that keeps tripping people up—smart people, experienced people—is that they lump type safety and type convenience into the same bucket. Language debates, framework docs, interview whiteboard sessions: they all treat the two like synonyms. They’re not. And if you don’t pull them …