Make AI-generated code
maintainable.
Generate repository-aware AI coding standards for Cursor, Claude Code, Copilot and AI agents.
{
"dependencies": {
"next": "15",
"react": "19",
"tailwindcss": "^4",
"prisma": "^6",
"zod": "^4"
}
}# Architecture Standards - Prefer Server Components - Use Server Actions for mutations # Database Standards - Use Prisma transactions - Validate with Zod schemas # AI Constraints - Never fetch in client - Keep business logic in services
How it works
Three steps from paste to production-ready AI coding standards.
Paste package.json
Copy your package.json or dependencies and paste them in.
{
"next": "15",
"react": "19",
"tailwindcss": "^4"
}AI detects your stack
Our engine identifies frameworks, databases and tools from your dependencies.
Generate standards
Get repository-aware AI coding standards you can use immediately.
- Prefer Server Components by default - Use Server Actions for mutations - Validate external input with Zod
Why RepoRules
Generate standards that actually understand your codebase.
Repository-aware
Analyzes your dependencies and project architecture to generate context-specific standards that actually apply to your codebase.
Framework-specific
Understands Next.js, React, Python, Go and more. Standards reflect each framework's idioms and best practices, not generic advice.
AI-tool optimized
Works with Cursor, Claude Code and Copilot. Export formats that AI coding tools can use immediately.
Maintainability-first
Designed to keep AI-generated code clean, consistent, and maintainable at scale across your entire team.
Real generated examples
See how RepoRules generates repository-aware standards for different tech stacks.
Next.js + Tailwind + Prisma
{
"dependencies": {
"next": "15",
"react": "19",
"tailwindcss": "^4",
"prisma": "^6",
"zod": "^4"
}
}# Architecture Standards - Prefer Server Components by default - Use Server Actions for mutations # Database Standards - Use Prisma transactions for multi-step ops - Validate all inputs with Zod schemas # AI Constraints - Never fetch data inside client components - Keep business logic in server services
React + Zustand + Vitest
{
"dependencies": {
"react": "19",
"zustand": "^5",
"vitest": "^2",
"@testing-library/react": "^16"
}
}# Architecture Standards - Keep state logic in Zustand stores - Use selectors for derived state # Testing Standards - Write unit tests for stores - Test components with Testing Library # AI Constraints - Avoid prop drilling — use stores - Test user behavior, not implementation
Python + FastAPI + Pydantic
{
"dependencies": {
"fastapi": "^0.115",
"pydantic": "^2",
"sqlalchemy": "^2",
"alembic": "^1.14"
}
}# Architecture Standards - Use Pydantic v2 models for validation - Define schemas separately from ORM models # API Standards - Use dependency injection for DB sessions - Keep route handlers thin (logic in services) # AI Constraints - Never expose ORM models directly - Use Alembic for all schema migrations
Tool comparison
Choosing between AI coding tools? Here's how they compare.