IT & Software
Enforce Internal Style Guides
Enforce Internal Style Guides with This ChatGPT Prompt for Code Consistency
What This Prompt Does
- Guides ChatGPT to generate code that adheres to a company’s internal style guide or coding conventions.
- Encourages consistent formatting, naming conventions, structure, and documentation style across generated code.
- Helps reduce manual edits, code reviews, or rewrites by aligning outputs with expected engineering standards from the start.
- Improves the integration of AI-generated code into existing codebases by minimizing friction with team and tooling expectations.
Tips
- nclude your style guide directly in the prompt or link to a summary version. Specify formatting rules (e.g., tabs vs. spaces, line length), naming conventions, comment standards, and preferred patterns.
- Mention any specific linters or formatters (like ESLint, Prettier, Black, or ClangFormat) that ChatGPT should emulate.
- Clarify language- or framework-specific preferences, such as React with functional components and hooks, or Python with type hints and PEP8 compliance.
- When applicable, request idiomatic practices (e.g., “Write idiomatic Go code that matches Google’s internal Go style guide”).
- Use example inputs and outputs in your prompt to demonstrate correct formatting and naming schemes.
Prompt
Many software companies have internal style guides or coding standards that dictate how code should be written and formatted. When using ChatGPT to generate code, ensure that the outputs match these standards as closely as possible.
How To Use The Prompt
Use this prompt whenever you're asking ChatGPT to write or refactor code within an organization that follows a particular style. Modify the prompt by filling in:
- [PROGRAMMING LANGUAGE]
- [FRAMEWORK OR TECH STACK]
- [INTERNAL STYLE GUIDE DETAILS OR LINK]
- [LINTER OR FORMATTER PREFERENCE]
- [NAMING OR COMMENTING CONVENTIONS]
Example:
"Programming language: Python; Framework: Django; Style Guide: Follows internal guide based on PEP8 with docstrings in Google style format, uses snake_case for variables and PascalCase for class names; Formatting tool: Black; Linter: Flake8"
Example Input
#INFORMATION ABOUT MY CODE BASE:
Programming language: JavaScript
Framework: React with TypeScript
Style guide: Airbnb JavaScript style guide + internal rule to always use async/await over .then()
Formatter: Prettier
Linter: ESLint with Airbnb config
Naming conventions: camelCase for variables and functions, PascalCase for components, CREAMING_SNAKE_CASE for constants
Prompt strategy goal: Ensure ChatGPT generates React components that conform to all internal and Airbnb standards without post-editing.
Example Output
Learning Objectives
- Identify key figures and events of the U.S. Civil Rights Movement (1950s–1960s).
Measurement: Timeline creation, oral presentation - Analyze the social, political, and legal impacts of landmark rulings like Brown v. Board of Education.
Measurement: Structured essay with thesis and supporting evidence - Compare and contrast the philosophies of Martin Luther King Jr. and Malcolm X.
Measurement: Venn diagram + group discussion rubric - Evaluate the effectiveness of nonviolent protest strategies.
Measurement: Persuasive writing assignment, peer review - Reflect on how the movement influences present-day civil rights issues.
Measurement: Journal entry and class forum response
Standards Alignment
✔ California History-Social Science Content Standard 8.9
✔ Common Core Literacy in History/Social Studies (CCSS.ELA-LITERACY.RH.6-8.2)
Additional Information
This mega-prompt is essential for engineering teams using ChatGPT in professional workflows. It ensures that all generated code aligns with internal coding practices, which:
- Enhances collaboration and readability within teams.
- Reduces time spent reviewing or editing AI-generated outputs.
- Improves trust in AI-assisted development, especially in large or regulated codebases.
By aligning ChatGPT’s outputs with your style guide, you empower developers to integrate AI seamlessly into their workflow—whether it’s generating new components, refactoring legacy code, or scaffolding tests. Over time, this practice reinforces consistency and quality across your codebase, enabling faster development without sacrificing standards.
Related Prompts
Ready to Dominate Your Business in 2025?
Get immediate access to...
30,000+ AI prompts
Marketing, business, copywriting, visuals & more.
How-to Guides & resources
Biggest collection of AI resources for your business success.
Unlimited updates
Your resources & knowledge grows, free of charge, forever.
Lifetime access
Highest priority support. Instant delivery.