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 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 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 spent enough time in codebases where “type-safe” gets tossed around like a badge of honor. Teams will proudly tell you their system is bulletproof because they wrapped every integer in a UserId class or built a sealed hierarchy for every conceivable API response. But when you actually sit down to add a feature, you’re …