Production-Quality AI Development

RANA ensures AI coding assistants produce real, deployable code—not mock implementations.

npm install -g @rana/cli

The Problem with AI Coding Assistants

Mock Data

AI creates fake data instead of real implementations

Breaking Changes

Existing code patterns get overwritten or ignored

No Testing

Code ships without validation or quality checks

Never Deploys

Features remain unfinished and never reach production

What RANA Does For You

🔍

Search Before Creating

RANA instructs AI to find and reuse existing patterns, components, and utilities before writing new code—eliminating duplication and maintaining consistency.

💾

Real Data Only

Enforces the use of actual APIs, databases, and services. No mock data, no placeholders—every implementation is production-ready from the start.

Automatic Testing

Ensures AI writes both manual and automated tests for every feature, with clear test plans and verification steps before marking work complete.

🎨

Design System Compliance

AI follows your design system automatically—using existing components, styles, and patterns for consistent UI/UX across your entire application.

🚀

Deploy to Production

Features aren't considered done until they're deployed, verified in production, and confirmed working with real users and real data.

🛡️

Quality Gates

Automated checks enforce error handling, loading states, edge cases, and best practices—preventing common AI mistakes before they happen.

📊

Progress Tracking

Clear checklists and workflows keep AI on task through every phase: planning, implementation, testing, deployment, and verification.

🔧

Tool Agnostic

Works with any AI assistant (Claude, ChatGPT, Copilot), any IDE (VS Code, Cursor, JetBrains), and any tech stack (React, Vue, Next.js, etc.).

How It Works

1

Install & Initialize

Add RANA to your project with a single command. It creates a .rana.yml configuration file tailored to your tech stack.

npm install -g @rana/cli
rana init
2

Configure Standards

Define your project's principles, quality gates, and workflows in .rana.yml. RANA provides smart defaults that work for most projects.

standards:
  principles:
    - search_before_create
    - real_data_only
    - test_everything
    - deploy_to_production
3

AI Follows Automatically

Your AI assistant reads the RANA configuration and follows your standards automatically. No manual enforcement needed.

4

Verify & Deploy

Use the CLI to check compliance and deploy with confidence. RANA ensures nothing ships until it's truly production-ready.

rana check
rana deploy --verify

Before vs After RANA

Before RANA

// Mock data
const users = [
  { id: 1, name: 'John' }
];

<button className="bg-blue-500">
  Click me
</button>

// No error handling
// No tests
// Never deployed

After RANA

// Real API integration
const users = await apiGet<User[]>('/users');

<GradientButton
  onClick={handleClick}
  loading={isLoading}
>
  Click me
</GradientButton>

// ✅ Real data
// ✅ Design system
// ✅ Error handling
// ✅ Tests written
// ✅ Deployed to production

Get Started in 60 Seconds

1. Install the CLI

npm install -g @rana/cli

2. Initialize in Your Project

cd your-project
rana init

3. Start Building

rana flow feature "Add user auth"

Works With Your Tools

Claude ChatGPT GitHub Copilot Cursor VS Code Any IDE

Ready to Build Production-Quality Code with AI?

Join developers shipping real features faster with RANA.