This PR addresses the request to create a dedicated section for AI-assisted implementation of GABP-compliant clients and servers. The addition provides compressed, AI-friendly information and practical prompts that make it significantly easier for developers to use AI tools when building GABP implementations.

What's Added

New AI Implementation Guide (SPEC/1.0/ai-implementation.md)

A comprehensive 345-line guide specifically designed for AI assistants and automated tools, including:

• Quick Reference Section: Compressed protocol summary optimized for AI context windows
• AI Prompt Templates: Ready-to-use prompts for building both bridges (clients) and mods (servers)
• Implementation Patterns: Code examples for common tasks like message validation, LSP framing, and event management
• Integration Testing: Structured approach to testing GABP implementations
• Common Mistakes: List of frequent implementation errors to avoid

Enhanced Main Specification (SPEC/1.0/gabp.md)

Added Section 12: "AI Implementation Guide" with:

• Protocol summary condensed for AI consumption
• Bridge and mod implementation checklists
• Code patterns for message validation, error handling, and event emission
• Performance and scaling considerations
• Debugging guidance with concrete examples

Updated Documentation Links

• Added AI implementation guide to main README.md
• Updated SPEC/1.0/README.md to include the new guide in reading order
• All changes maintain existing markdown style and pass linting validation

Key Features for AI Implementers

The guide provides battle-tested patterns like:

// Message validation pattern
function validateGABPMessage(msg) {
  if (!msg.v || msg.v !== "gabp/1") throw new Error("Invalid version");
  if (!msg.id || !isValidUUID(msg.id)) throw new Error("Invalid ID");  
  // ... complete validation logic
}

And comprehensive prompts such as:

"Create a GABP bridge client that: 1. TRANSPORT: Connect via stdio/TCP using LSP-style headers... 2. HANDSHAKE: Send session/hello with token from config file..."

Benefits

• Faster Implementation: Developers can now copy-paste AI prompts to get working GABP implementations
• Fewer Mistakes: Common patterns and error lists help avoid typical implementation pitfalls
• Better Testing: Structured testing approach ensures implementations conform to the specification
• AI-Optimized: Information is specifically compressed and formatted for AI assistant consumption

This enhancement makes GABP significantly more accessible to the growing number of developers using AI assistants for protocol implementation, while maintaining the rigor and completeness of the existing specification.

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