@aiready/cli

Assess and improve your codebase's AI-readiness. Get an AI Readiness Score (0-100) and detect issues that confuse AI models.

🚀 Quick Start

# Install globally
npm install -g @aiready/cli

# Scan your codebase
aiready scan .

# Get detailed analysis
aiready scan . --output report.json

🤖 Why AIReady?

As AI becomes deeply integrated into software development, codebases become harder for AI models to understand due to:

• Knowledge cutoff limitations in AI models
• Context fragmentation that breaks AI understanding
• Duplicated patterns AI doesn't recognize
• Inconsistent naming across the codebase

AIReady helps teams assess, visualize, and prepare repositories for better AI adoption.

🌟 The AIReady Ecosystem

✨ Features

• AI Readiness Score - Get a 0-100 score indicating how AI-ready your codebase is.
• 🛡️ AI-Regression Guardrail - Block PRs that reduce your AI leverage (GitHub Action).
• 🤖 Remediation Swarm - Automatically fix AI-readiness issues using the platform's specialized agents.
• 🔌 Cursor-Ready MCP Server - Let your AI assistant (Cursor, Windsurf, Claude) find and remediate code issues directly in your IDE.
• Semantic Duplicate Detection - Find duplicate patterns that waste AI context window tokens.
• Context Analysis - Analyze context window costs, import depth, and dependency fragmentation.
• Consistency Checks - Ensure naming conventions and pattern consistency.
• Agent Grounding - Evaluate how well code aids AI agents and autonomous workflows.

📋 Commands

Unified Scan

Run all analysis tools at once:

aiready scan .
aiready scan . --output report.json
aiready scan . --threshold 70

Remediation

See suggested fixes for detected issues:

aiready remediate                  # Show remediation options for latest report
aiready remediate --tool patterns  # Focus on pattern consolidation fixes

Note: Advanced automated remediation requires an AIReady Platform subscription and an API key.

Individual Tools

📦 Installation

npm / pnpm / yarn

# npm
npm install -g @aiready/cli

# pnpm
pnpm add -g @aiready/cli

# yarn
yarn global add @aiready/cli

Docker

# Pull from Docker Hub
docker pull aiready/cli

# Run
docker run aiready/cli scan .

# Or use the image directly
docker run -v $(pwd):/app aiready/cli scan /app

Homebrew

brew install getaiready/aiready/aiready

VS Code Extension

Install from VS Code Marketplace or search for "AIReady" in VS Code extensions.

GitHub Action

- name: AIReady Code Analysis
  uses: getaiready/aiready-action@v1
  with:
    threshold: 70

MCP Server

npm install -g @aiready/mcp-server
aiready-mcp

🔧 Configuration

Create an aiready.json config file:

{
  "scan": {
    "exclude": ["**/dist/**", "**/node_modules/**"]
  },
  "tools": {
    "pattern-detect": { "minSimilarity": 0.5 },
    "context-analyzer": { "maxContextBudget": 15000 }
  },
  "output": { "format": "json", "directory": ".aiready" }
}

🌐 Language Support

Currently Supported (95% market coverage):

• ✅ TypeScript / JavaScript
• ✅ Python
• ✅ Java
• ✅ Go
• ✅ C#

🏗️ Architecture

                    🎯 USER
                      │
                      ▼
         🎛️  @aiready/cli (orchestrator)
          │     │     │     │     │     │     │     │     │     │
          ▼     ▼     ▼     ▼     ▼     ▼     ▼     ▼     ▼     ▼
        [PAT] [CTX] [CON] [AMP] [DEP] [DOC] [SIG] [AGT] [TST] [CTR]
          │     │     │     │     │     │     │     │     │     │
          └─────┴─────┴─────┴─────┴─────┴─────┴─────┴─────┴─────┴─────┘
                               │
                               ▼
                        🏢 @aiready/core

🤝 Contributing

See CONTRIBUTING.md for details.

📄 License

MIT License - see LICENSE for details.

🔗 Related Links

• 🌐 Website
• 📖 Documentation
• 📦 npm
• 💖 Sponsor
• 📊 GitHub Actions
• 🔌 VS Code Extension