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Boilerplate code

Boilerplate code is repetitive, conventional supporting code that establishes required structure or routine behavior without expressing substantial application-specific logic.

How 2 Manning books explain it

Coding with AI

Boilerplate code is repetitive, standard code required for common implementation tasks but contributing little distinctive application behavior.

How it is used
Accelerates routine implementation and testing by delegating repetitive scaffolding to generative AI tools.
How deep it goes
Defines the purpose and shows common applications, but stops short of presenting complete generated implementations.
Examples
Uses database connections, file reading, HTTP commands, and unittest or pytest setup as representative repetitive tasks.
What you can do after
Apply it via generative AI tools to draft routine code, then review, refactor, test, and adapt the output.

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The Art of Code

Boilerplate code is repetitive supporting code required by a language, framework, or implementation pattern rather than by distinctive application behavior.

How it is used
Explains how repetitive data-class support code can obscure intent and increase maintenance risk.
How deep it goes
Quantifies boilerplate with a Person example and a line-count estimate, then points to builders and concise data constructs.
Examples
Uses a Java Person DTO, overloaded constructors, accessors, a builder, Lombok, and concise record-like data carriers.
What you can do after
Evaluate when supporting code obscures data intent and choose builders, generation, or concise data constructs to reduce it.

Read how The Art of Code explains boilerplate code →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.