How deeply does Coding with AI cover boilerplate code?

Defines the purpose and shows common applications, but stops short of presenting complete generated implementations.

Boilerplate code

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

Boilerplate code is repetitive, standard implementation code that adds little distinctive application behavior. Generative AI can create this scaffolding quickly, but developers must provide context, refine the architecture, and correct the result. section 2.2 section 5.0

Common uses include:

Connecting to databases, reading files, and sending HTTP commands. section 2.2
Creating repetitive test setup and test cases, including unittest and pytest suites. section 8.0
Generating a starting structure that developers later refactor for separation of concerns, security, maintainability, or project-specific needs. section 2.2 section 5.0

A practical prompting workflow

Ask an AI coding assistant: “Generate code for connecting to a database.” Treat the response as a first draft rather than finished software. Check its assumptions, adapt it to the project, and test the result. For repetitive test setup, ask the assistant to generate a unittest or pytest suite, then inspect edge cases and maintainability. section 2.2 section 8.0

How Coding with AI covers it

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Also explained in

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The Art of CodeBoilerplate code is repetitive supporting code required by a language, framework, or implementation pattern rather than by distinctive application behavior.

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This explainer was generated by Manning's knowledge graph from the text of Coding with AI. The section links point to the parts of the book it draws on.