Generate Comprehensive Code Style Guides

Code Style Guide Expert helps teams define coding standards that favor consistency, readability, and practical enforcement. It covers naming conventions for variables, functions, classes, types, and constants; organization of files and types; indentation and line wrapping; documentation; error handling; and tooling. Its examples span JavaScript, Python, TypeScript, Java, Rust, Go, JSON, and configuration formats.

The guidance recommends tailoring standards to each language's idioms instead of imposing universal conventions. It favors descriptive names over unclear abbreviations, organized files with imports and types in a predictable order, and public methods before private helpers in the example class. Formatting guidance illustrates consistent indentation and logical line breaks. Document each function with its purpose, arguments, return values, examples, and panic conditions. Error handling examples add context when validation or repository operations fail.

Use the guide when a team is establishing shared conventions, onboarding contributors, reducing style debates in code review, or configuring automated formatting and lint checks. It can also help turn recurring review feedback into a documented standard and plan a gradual rollout from formatting to lint rules and more specific checks.

The examples are starting points, not universal requirements. Adapt them to the languages and existing practices of the codebase. Review the conventions as the team gains feedback, and adapt them to the languages and existing practices of the codebase.

Useful inputs include the team's languages, repository structure, current conventions, recurring review issues, and available editor and CI tooling. The resulting guide can define naming and organization rules, whitespace and line-length practices, documentation expectations, error handling patterns, configuration examples, and rollout steps.

Start with automatic formatters such as Prettier, Black, and gofmt, then add basic lint rules and expand them based on code review feedback. Pre-commit hooks can enforce standards automatically. Onboarding materials can include editor configuration, real-world examples from the codebase, and automated checks in CI/CD. Success can be evaluated through less style discussion in reviews, faster onboarding, fewer style inconsistencies, and improved readability metrics.

The guide names linters and formatters including ESLint, Prettier, Black, and gofmt, plus pre-commit hooks and CI/CD checks. A Prettier configuration example is:

{
  "useTabs": false,
  "singleQuote": true,
  "quoteProps": "as-needed",
  "trailingComma": "es5"
}

Engineering teams, maintainers, and technical leads can use this framework to make code easier to read and maintain across contributors. It is useful when teams want consistent expectations without relying on personal preference, and when onboarding needs concrete examples and automated checks.