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Linting

As explained in Build Financial Software with Generative AI (From Scratch)

A linter is a static-analysis tool that detects style violations, common programming mistakes, and other suspicious patterns in source code.

A linter is a static-analysis tool that checks source code for style violations, common mistakes, and suspicious patterns. By enforcing shared standards, it makes code easier to scan, reduces cognitive load, supports onboarding, and can expose problems in generated code. section 2.3.3

Linters support a practical development workflow by:

  • Applying team or company coding policies as a project grows beyond one developer. section 2.3.3
  • Reducing debates over formatting and highlighting suspicious or incorrect code early. section 2.3.3
  • Complementing IDE plugins, opinionated formatters, testing, and vulnerability-scanning tools. section 2.3.3

How Build Financial Software with Generative AI (From Scratch) covers it

How deep it goes
Defines the role of linters and their benefits but stops short of configuration, rule design, or implementation procedures.
Examples
Names SonarLint alongside Python black, Perl perltidy, and Go gofmt as tools that impose coding structure.
What you can do after
Apply it via a linter to enforce standards and identify problems in source or generated code.
How it connects
Links linters with static analysis, code formatting, IDE plugins, testing, company policies, and vulnerability scanning.

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This explainer was generated by Manning's knowledge graph from the text of Build Financial Software with Generative AI (From Scratch). The section links point to the parts of the book it draws on.