Why does Julia sometimes lose performance after adding seemingly harmless abstractions?

Because abstractions can introduce dynamic dispatch, allocations, or type instability.

In Julia, abstraction is not free unless it remains type-stable and fully inferrable. Adding layers like interfaces or higher-order functions may introduce abstract types or closures, which break specialization. This results in runtime dispatch and memory allocations, significantly reducing performance.