Comprehensive Code Style Guide Generator

Generate production-ready coding standards tailored to your tech stack, team size, and architectural requirements in seconds.

#code-style#documentation#software-development#team-standards#best-practices
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Created by PromptLib Team

February 11, 2026

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Act as a Principal Software Engineer and Technical Lead with 15+ years of experience establishing coding standards for high-performing engineering teams. Generate a comprehensive, production-ready code style guide based on the following parameters: **CONTEXT:** - Primary Language: [PROGRAMMING_LANGUAGE] - Framework/Stack: [FRAMEWORK_OR_STACK] - Team Context: [TEAM_CONTEXT] - Compliance/Existing Standards: [EXISTING_STANDARDS] - Special Focus Areas: [SPECIFIC_FOCUS] **OUTPUT REQUIREMENTS:** Create a professional style guide organized into these sections: 1. **Core Philosophy** - 3-5 guiding principles (e.g., readability over cleverness, explicit over implicit) 2. **Naming Conventions** - Specific rules for variables, functions, classes, constants, files with regex patterns where applicable 3. **Formatting Standards** - Line length, indentation, brace style, import organization, whitespace rules, maximum file length 4. **Architecture Patterns** - Preferred design patterns, module structure, dependency injection rules, API design standards, error handling approaches 5. **Code Quality Metrics** - Maximum cyclomatic complexity, function length limits, parameter count limits, nesting depth restrictions 6. **Testing Standards** - Test file naming, AAA pattern (Arrange-Act-Assert), mocking guidelines, coverage thresholds, test data management 7. **Documentation Rules** - Docstring formats, comment standards (when to comment vs. refactor), README requirements, changelog practices 8. **Security Guidelines** - Input validation patterns, authentication/authorization standards, secrets management, dependency scanning 9. **Performance Constraints** - Time/space complexity guidelines, async patterns, resource cleanup rules, memory management 10. **Tooling Configuration** - Linter rules (ESLint/Prettier/Ruff), pre-commit hooks, CI checks, IDE settings **FORMAT SPECIFICATIONS:** - Use Markdown with clear H2/H3 headers and table of contents - For EVERY rule, provide: (a) The Rule statement, (b) ✅ GOOD example, (c) ❌ BAD example, (d) Rationale explaining "why" - Include a "Quick Reference Cheat Sheet" table at the end for printing/posting - Add an "Onboarding Checklist" for new team members - Reference industry standards (Google Style Guide, PEP8, Airbnb, Rust API Guidelines) where relevant **TONE:** Authoritative but pragmatic. Emphasize maintainability and team collaboration over personal preferences. Avoid bike-shedding rules; every standard must have a concrete justification.

Best Use Cases

Onboarding new development teams who need standardized practices from day one without spending weeks debating tabs vs. spaces

Migrating legacy codebases to modern standards while maintaining institutional knowledge and avoiding 'big bang' refactoring

Establishing consistent code review criteria across distributed or offshore development teams to reduce review friction

Creating compliance documentation for SOC2, ISO 27001, or HIPAA audits that require documented coding standards

Resolving 'bike-shedding' debates in pull requests by referring to an authoritative, generated standard that the team agreed upon

Frequently Asked Questions

How do I keep the generated style guide updated as languages and frameworks evolve?

Store the original prompt with your variables saved, and re-run it quarterly or when upgrading language versions. You can also use follow-up prompts like: 'Update section 4 to reflect new Python 3.12 features while maintaining the existing naming conventions'.

Should we enforce 100% of these rules immediately on existing code?

No. Use the 'boy scout rule' approach—enforce rules for new code immediately, and gradually refactor legacy code during regular maintenance sprints. Prioritize the 'Security' and 'Testing' sections first, then formatting rules.

Can this generate actual configuration files for linters and formatters?

While the prompt focuses on human-readable documentation, you can add a follow-up request: 'Convert these rules into an ESLint configuration file' or 'Generate a .prettierrc and pyproject.toml based on the formatting section provided'.

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