About AI Coding Standards

AI Coding Standards Library is a curated collection of coding standards, best practices, and architecture guidelines specifically designed for the era of AI-assisted development.

Why This Exists

AI coding tools like Cursor, Claude Code, GitHub Copilot, and Windsurf are transforming how we write software. But these tools are only as good as the context they receive. Without clear, consistent standards, AI-generated code can be unpredictable, inconsistent, and difficult to maintain.

This library provides the "context infrastructure" that AI tools need — standardized patterns, naming conventions, and architecture rules that make AI-assisted development reliable and production-ready.

What We Cover

• Language-level naming conventions and code style standards
• Framework-specific component and folder structure patterns
• AI-safe design patterns that produce predictable outputs
• Anti-patterns to avoid in AI-assisted codebases

What We Don't Cover

This site focuses exclusively on language and framework-level coding standards. We do not cover repository governance, project management methodologies, or memory/rule orchestration systems. For repository governance, check out our friends at reporules.dev.

How to Use

Each standard article includes ready-to-use AI prompts that you can paste directly into your AI coding tool. Browse the Standards section to find patterns relevant to your stack.

Contribute

This is an open-source project. If you have a coding standard or pattern that helps your AI tools produce better code, we welcome contributions via GitHub.