[FEAT] Add LLM-Ready Documentation Blocks for AI-Assisted UI Coding

[argishh]

I'd like to propose the addition of LLM-ready documentation blocks within the React Bits component library. This feature would be targeted at developers using large language models (LLMs) like ChatGPT, Copilot, or similar tools to generate UI code and improve developer productivity.

Problem:

With the rise of LLM-assisted coding, there's a growing trend of developers asking AI tools to generate or modify UI based on component libraries. However, current documentation formats are written for humans and lack the structured, machine-readable context that LLMs can fully leverage.

As a result, generated code often lacks accuracy or fails to align with the design system conventions of React Bits — especially in terms of props, usage patterns, and design intent.

Proposed Solution:

Introduce AI-optimized documentation blocks or metadata files alongside each component that provide:

• Clear, concise usage examples with consistent patterns

• Explicit component purpose and behavior descriptions

• Prop definitions and default values in natural language and structured JSON

• Common design variants and best practices

• “Intent tags” or metadata like:

  {
    "component": "Button",
    "intent": "CTA, primary action, user interaction",
    "suitable_for": ["forms", "modals", "toolbars"],
    "how to use": ...
  }

This could be implemented via:

• JSON or YAML sidecar files (e.g., Button.llm.json)
• An opt-in LLM Docs tab in your documentation site
• Embedding structured comment blocks in your source code (similar to TSDoc/JSDoc)

Benefits:

• ✅ Makes React Bits the first LLM-native design system
• 🧠 Helps AI tools generate more accurate, context-aware UI code
• ⚡️ Improves DX for devs using Cursor, ChatGPT, Claude etc.
• 📐 Preserves design system integrity even in auto-generated code
• 🔁 Enables super-accurate features like automated design-to-code tools or smart component suggestion engines

Would love to hear thoughts from the team on feasibility, format preferences, and whether there's interest in exploring this frontier!

Happy to collaborate further or contribute a proof of concept.

[DavidHDev]

Hey, I've already created a MCP server that does exactly that using a JSON file with component data, but it's just not reliable enough yet to be made available to the public, agents using it make a lot of mistakes, and by a lot, I mean A LOT, so you're 100% safer if you handle things yourself. I understand the idea, but it's just not reliable, so this will be on hold for the foreseeable future.