How do you balance abstraction and performance in large Julia codebases?

You enforce abstraction boundaries that remain type-stable and avoid runtime dispatch in hot paths.

High-level abstractions improve maintainability but can degrade performance if they introduce dynamic dispatch or abstract containers. The key is designing abstractions that compile away via multiple dispatch and specialization, preserving zero-cost behavior in critical execution paths.