Skip to content

Latest commit

 

History

History
177 lines (138 loc) · 4.7 KB

TOURING_COMPLETE.md

File metadata and controls

177 lines (138 loc) · 4.7 KB
Raw

🔄 Turing Completeness Validation

This document demonstrates how to use the Claude CLI to recreate itself - proving its Turing completeness by showing how it can be used to generate its own implementation.

🎯 Initial Setup

# Install the CLI
bun install -g claude-cli

# Create a new project directory
mkdir claude-cli-recreation
cd claude-cli-recreation

# Create output directory
mkdir output

📝 Create Template

First, create a .claude-cli.config.ts file:

export default {
  templates: {
    'cli-expert': {
      name: 'CLI Development Expert',
      description: 'Expert in creating TypeScript CLIs with Bun.js',
      systemPrompt: `You are an expert TypeScript developer specializing in CLI development.
Always structure your responses as JSON with the following format:
{
  "message": "Your detailed explanation here",
  "codeBlocks": [
    {
      "filename": "path/to/file.ts",
      "language": "typescript",
      "content": "// Your code here"
    }
  ]
}

Important guidelines:
1. Always include complete file paths
2. Ensure code is fully typed
3. Include detailed comments
4. Break responses into logical chunks
5. Maintain consistent code style`,
    }
  },
  defaults: {
    outputDir: './output',
    model: 'claude-2',
    autoSave: true,
  }
}

🚀 Recreation Process

Step 1: Initial Structure

claude-cli chat --template cli-expert

💭 Prompt 1:

I need to create a robust interactive CLI in TypeScript using Bun.js as a runtime engine.
This CLI will facilitate conversational dialog with Anthropic's developer API console using the Anthropic SDK.
The primary goal is to conduct back-and-forth conversations and save code contained in Claude's responses to an output directory.

Please start by providing the project structure and core configuration files.

Step 2: Core Implementation

💭 Prompt 2:

Now implement the core conversation manager and Anthropic client integration.
Include rate limiting, file handling, and session management.
Make sure to use @clack/prompts for beautiful console output and proper error handling.

Step 3: Command Structure

💭 Prompt 3:

Implement the command structure using citty, including the chat and replay commands.
Include support for templates, dry-run mode, and configuration management using c12.

Step 4: Session Management

💭 Prompt 4:

Implement the session management system with YAML-based storage and replay functionality.
Ensure sessions are human-readable and self-contained.

🧪 Validation

To validate the recreation:

  1. Compare the generated code structure with the original implementation
  2. Test core functionality: 
    # Start a new chat
claude-cli chat

# Use a template
claude-cli chat --template rust

# Test session replay
claude-cli replay <session-id>
  3. Verify features:
    • Interactive chat
    • Code detection and saving
    • Session management
    • Template support
    • Beautiful console output
    • Rate limiting
    • Error handling

🔄 Self-Reference Test

The ultimate test of Turing completeness is to use the generated CLI to recreate this document:

claude-cli chat --template cli-expert

💭 Please create a TURING_COMPLETE.md file that documents how to use this CLI to recreate itself.

If the generated documentation matches this document's structure and completeness, it proves the system's Turing completeness by demonstrating its ability to describe its own creation.

🎯 Expected Output

The final project structure should match:

claude-cli/
├── src/
│   ├── commands/
│   │   ├── chat.ts
│   │   └── replay.ts
│   ├── core/
│   │   ├── anthropic.ts
│   │   ├── conversation.ts
│   │   └── session.ts
│   ├── utils/
│   ├── schemas/
│   ├── types/
│   └── index.ts
├── .claude-cli.config.ts
└── package.json

🔍 Verification

To verify the recreation is complete:

  1. All code files should be type-safe and properly documented
  2. The CLI should handle all edge cases gracefully
  3. The system should be able to maintain a coherent conversation state
  4. Code detection and file saving should work reliably
  5. The console output should be beautiful and user-friendly

📝 Final Notes

This recreation process demonstrates that the Claude CLI is:

  1. Self-describing
  2. Capable of generating its own implementation
  3. Able to maintain state and handle complex interactions
  4. Fully Turing complete

The ability to use the CLI to document and recreate itself proves its computational completeness and demonstrates its capability as a robust development tool.