Type definitions in statically typed languages are by definition performed at compile-time. This has real advantages during development. Guarantees on code behavior allow the developers to know what to expect during execution and this minimizes surprises in the system during run time and makes the systems robust.
An early error detection is a major plus. Any compiler will check the correctness of type at build time. It detects inconsistencies, invalid operations and numerous bugs instantly. This eliminates errors at run-time such as TypeError or crash of undefined functions which leads to more stable software.
Static types make it possible to support tooling. Types give IDEs the power to correctly auto-complete, give trustworthy refactoring, have navigation accuracy and documentation. This enhances productivity of the developers. Explicit types can be used as documentation, which is machine-verifiable, and explains intent and data flow.
Optimisations of performances become more realistic. Concrete types knowledge allows faster code to be produced when compiling. This comprises optimization such as inline caching and dead code removal. Static typing is usually much faster than dynamic typing and consumes fewer resources.
Static typing enhances maintainability and scalability of the codes, particularly of the large code bases. Explicit types become compulsory contracts. They explain the intent of the code and disclose dependencies and they make refactoring safer. This minimizes the burden on the mind and eliminates unwanted side-effects in the development.
Conclusion
The major benefits of statically typed languages are that type checking at compile time eliminates the possibility of runtime failure; type-sensitive tools make programming more productive; explicit types also improve the documentation and maintainability of the program and compilers can use types to optimize performance. These properties offer the rigidity, scalability, and tooling that are required to develop and create high-efficiency and sustainable complex systems of software.
