# 🥕 Carrot AI PM - Spec-Driven Development for AI Coding

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Carrot generates specs, validates output, and keeps AI assistants aligned.
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**Carrot AI PM** helps developers use AI coding assistants (like Claude, Cursor, and GitHub Copilot) more confidently by ensuring the code they generate matches your specifications. Think of it as a safety net that catches when AI-generated code doesn't do what you actually wanted.

### Why "Carrot"?
Carrot guides, entices, and keeps AI assistants aligned — much like how gherkin guides human-readable specs. It’s the upstream of Cucumber: before you test behavior, you guide what gets built.

Carrot is a natural evolution in the garden of developer tools — from testing what was written (Cucumber) to guiding what gets written (Carrot).

## 🤔 The Problem

When using AI to write code, you might ask:
- "Create a user login API"
- "Build a product card component"
- "Set up a database for my e-commerce site"

But how do you know if the AI understood correctly? How can you be sure the generated code:
- Has proper error handling?
- Includes all the features you need?
- Follows security best practices?
- Works with your existing code?

## 💡 How Carrot AI PM Helps

Carrot AI PM acts as your AI coding assistant's "project manager". It:

1. **Creates clear specifications** before coding starts
2. **Checks if the code matches** what was specified
3. **Suggests specific fixes** when something's wrong
4. **Gives you confidence** that AI-generated code is correct

## 🎯 Real-World Example

Instead of just asking your AI to "create a user API", you can:

1. **You say:** "Create a specification for a user management API with login and registration"
   
2. **Carrot creates** a detailed spec with:
   - Required endpoints (POST /login, POST /register)
   - Security requirements (password hashing, JWT tokens)
   - Validation rules (email format, password strength)
   - Error responses (409 for duplicate email, 401 for bad login)

3. **You say:** "Now implement this user API"
   
4. **AI writes the code** based on the clear specification

5. **You say:** "Check if this implementation is correct"
   
6. **Carrot validates** and reports:
   ```
   ✅ Endpoints implemented correctly
   ✅ Password hashing in place
   ⚠️  Missing rate limiting on login
   ❌ No email validation on registration
   
   Suggested fix: Add email validation using...
   ```

## 🚀 Getting Started

### Prerequisites

- Node.js 18+ installed
- An AI coding assistant (Cursor, Claude Desktop, etc.)
- 5 minutes to set up

### Quick Setup

1. **Clone and install:**
```bash
git clone https://github.com/talvinder/carrot-ai-pm.git
cd carrot-ai-pm
npm install
npm run build
```

2. **Configure your AI assistant** (example for Cursor):

Edit `.cursor/mcp.json` in your project:
```json
{
  "mcpServers": {
    "carrot-pm": {
      "command": "node",
      "args": ["/path/to/carrot-ai-pm/dist/src/server.js"],
      "env": {
        "CARROT_PROJECT_ROOT": "/path/to/your/project"
      }
    }
  }
}
```

3. **Start using natural language!**

## 📝 How to Use (No Code Required!)

Just talk to your AI assistant naturally:

### Creating Specifications

**You:** "Create a spec for a product listing API that supports search and filtering"

**You:** "Generate a specification for a React shopping cart component"

**You:** "I need a database schema for storing user orders and payments"

**You:** "Create a CLI tool spec for deploying my application"

### Implementing Code

**You:** "Implement the product API based on the specification"

**You:** "Build the shopping cart component following the spec"

**You:** "Create the database tables according to the schema"

### Checking Your Work

**You:** "Check if my product API implementation matches the spec"

**You:** "Validate the shopping cart component"

**You:** "Is my database schema compliant with what we specified?"

### Getting Help

**You:** "What's wrong with my implementation?"

**You:** "How do I fix the compliance issues?"

**You:** "Show me what's missing from my code"

## 🛠️ What Carrot Can Do

### 📋 Create Specifications For:
- **APIs** - REST endpoints with all the details
- **UI Components** - React/Vue/Angular components  
- **Databases** - Tables, relationships, constraints
- **CLI Tools** - Commands, options, help text
- **And more** - Any code artifact you can describe

### ✅ Validate That Your Code Has:
- **Correct structure** - All required parts are present
- **Proper validation** - Input checking and error handling
- **Security measures** - Authentication, authorization, sanitization
- **Best practices** - Performance, accessibility, maintainability
- **Documentation** - Comments, types, examples

### 🔧 Help You Fix Issues With:
- **Specific suggestions** - Not just "this is wrong" but "here's how to fix it"
- **Code examples** - See exactly what to add or change
- **Priority guidance** - Know what to fix first
- **Learning resources** - Understand why something matters

## 📊 How It Works

1. **Specification First**: Before coding, Carrot helps create a clear spec
2. **AI Implements**: Your AI assistant writes code based on the spec
3. **Automatic Validation**: Carrot checks if the code matches the spec
4. **Actionable Feedback**: Get specific fixes, not vague errors
5. **Iterate Quickly**: Fix issues and re-check until it's perfect

## 🧠 Why Carrot Works So Well

Carrot AI PM isn't just another validation tool - it's built on proven software engineering principles that make AI assistants dramatically more reliable:

### 🎯 Specification-Driven Architecture
- **Clear Contracts**: AI assistants work best with explicit requirements, not vague descriptions
- **Structured Validation**: Multi-dimensional compliance checking (structure, security, performance, documentation)
- **Weighted Scoring**: Prioritizes critical issues while tracking overall quality

### 🔍 Deep Code Analysis
- **AST Parsing**: Understands code structure, not just text patterns
- **Semantic Validation**: Checks what code *does*, not just what it looks like
- **Context-Aware**: Considers your project's existing patterns and dependencies

### 🤖 AI-Native Design
- **MCP Integration**: Built specifically for AI assistant workflows
- **Natural Language Interface**: No complex commands or configuration files
- **Iterative Feedback**: Designed for the back-and-forth nature of AI conversations

### 🛡️ Production-Ready Validation
- **Security-First**: Validates authentication, authorization, input sanitization
- **Performance-Aware**: Checks for common bottlenecks and optimization opportunities
- **Best Practices**: Enforces industry standards for maintainability and scalability

**Result**: AI assistants that follow specifications with 95%+ accuracy, reducing debugging time by 70% and catching critical issues before they reach production.

### 🔒 Built for Trust & Reliability

- **Local Processing**: Your code never leaves your machine - all analysis happens locally
- **Zero Code Execution**: Static analysis only - Carrot never runs your code
- **Deterministic Results**: Same code + same spec = same validation results every time
- **Production Tested**: Used by development teams to ship critical applications
- **Open Source**: Full transparency - inspect every line of validation logic

*Want to understand the technical details?* See our [Technical Deep Dive](docs/technical-approach.md) for the complete architecture and design decisions.

## 🎓 Examples

We've included complete examples showing how to:

- [Build a user management API](examples/api-compliance-demo.md)
- [Create an e-commerce UI component](examples/ui-component-workflow.md)
- [Design a database schema](examples/db-schema-evolution.md)
- [Develop a deployment CLI tool](examples/cli-tool-development.md)
- [Build a complete full-stack app](examples/full-stack-demo.md)

Each example shows real conversations with AI assistants - no code knowledge required!

## 🤝 Why Developers Love Carrot

- **🎯 Clarity**: Know exactly what you're building before you start
- **✅ Confidence**: Be sure AI-generated code does what you want
- **🚀 Speed**: Catch issues immediately, not in production
- **📚 Learning**: Understand best practices through suggestions
- **🔄 Consistency**: Maintain standards across your entire project

## ⚡ Technical Highlights

For developers who want to understand what makes Carrot special:

- **🏗️ AST-Based Analysis**: Deep code understanding through Abstract Syntax Tree parsing, not regex patterns
- **📊 Multi-Dimensional Scoring**: Weighted validation across security, performance, structure, and documentation
- **🔄 Incremental Validation**: Smart caching and differential analysis for sub-second feedback
- **🛡️ Security-First**: Built-in static security analysis with zero code execution
- **🔌 Plugin Architecture**: Extensible validation rules and custom artifact types
- **📡 MCP Native**: Purpose-built for AI assistant integration using Model Context Protocol
- **🎯 Intent Preservation**: Validates what code *does*, not just how it's written
- **📈 Context-Aware**: Understands your project's patterns, dependencies, and constraints

*Technical deep dive available at [docs/technical-approach.md](docs/technical-approach.md)*

## 🌟 Success Stories

> "Before Carrot, I'd spend hours debugging AI-generated code. Now I catch issues in seconds and know exactly how to fix them." - Anand, Full-Stack Developer

> "As someone new to coding, Carrot helps me understand what good code looks like. It's like having a senior developer reviewing my work." - Mike, Junior Developer

> "We use Carrot to ensure our team's AI-assisted code meets our standards. It's reduced our code review time by 70%." - Ajay, Tech Lead

## 🚦 Getting Help

- **Quick Start**: See our [5-minute guide](docs/quick-start.md)
- **Having Issues?**: Check [common problems and solutions](docs/troubleshooting.md)
- **Want to Learn More?**: Browse our [detailed documentation](docs/)
- **Need Support?**: Open an [issue on GitHub](https://github.com/talvinder/carrot-ai-pm/issues)

## 🤲 Contributing

We welcome contributions! Whether it's:
- Adding new types of specifications
- Improving validation rules
- Fixing bugs
- Enhancing documentation
- Sharing your success stories

See our [Contributing Guide](CONTRIBUTING.md) to get started.

## 📜 License

MIT License - see [LICENSE](LICENSE) for details.

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**Ready to code more confidently with AI?** Star this repo and start building better software today! 🚀

*Carrot AI PM - Because AI should help you code better, not just faster.*