Statik tip sistem mi dinamik tip sistem mi tercih edersiniz?

08 Tem 08:37

For me it’s always been about error surface area vs. iteration speed. In the early days of a product—when you’re burning through models weekly—Python or JavaScript’s dynamic typing lets you move fast without fighting the compiler. I’ve shipped enough prototypes in both to know that a 15-minute refactor beats a two-day campaign to appease the type checker. But once the surface area grows (public APIs, shared libraries, team size >5), the cost of a late-stage runtime type error outweighs the hourly friction. That’s when I flip the switch: lock down the critical paths with static types, keep the scripting in dynamic layers. Performance rarely drives my choice anymore. Modern JITs and AOT compilers have erased most of the raw-speed delta; the real win is upstream in reduction of integration bugs and tooling. IDE renaming that actually works, CI gate pipelines that fail early, git blames that don’t point to “undefined is not a function.” If your deploy pipeline runs 10 minutes of tests anyway, the extra 2 minutes for static checks is noise. That said, I don’t default to TypeScript or Rust for everything. There are domains where dynamism is king: data-science notebooks, plugin architectures, or when you’re experimenting with multiple ML models on the same endpoint. In those cases I embrace the flexibility—but I wrap the dynamic core in a thin static boundary so the rest of the system still gets safety. Bottom line: the language’s type system is just a dial I turn up or down based on the project’s maturity and surface area, not on any dogma about “good” or “bad” typing.