Providing the specific inputs to the generator and invoke it is significantly faster than writing the code manually, therefore code generation permits to save time. With code generation you write the generator once and it can be reused as many times as you need. The reasons to use code generation are fundamentally four: productivity, simplification, portability, and consistency. In this article we explore all the possibilities provided by code generation to give you a complete overview on the subject. It can be used with widely different programming languages and using different techniques. So Code Generation can be used for small portions of code or entire applications. Some IDEs have the functionality to generate boilerplate code, like the equals or hashCode methods in Java.We can generate code, using programming languages with powerful metaprogramming features.We can generate code from information we obtained by reverse-engineering code written using other languages or frameworks.

We can generate code from information we obtained processing existing documents.We can generate entire applications from high level DSLs.We wrote about an example here: Code Generation with Roslyn: a Skeleton Class from UML We can generate skeletons of applications from simple models.For example, we can generate Data Access Objects from database schema files We can generate repetitive code from schemas or sources of information we have.

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