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[Feature] enhance AI-Driven development #230

@marcinkrasowski

Description

@marcinkrasowski

Is your feature request related to a problem? Please describe.

To further enhance the AI-driven development capabilities, we need to define and implement several key components that will empower the AI to automate the creation of entire CMS integrations. The goal is for the AI to be able to take a provided API documentation and the normalized data model as inputs to generate a mostly complete, functional integration.

This requires establishing cursor rules, configuring llm.txt, and refining MCP server settings. Furthermore, we should create detailed instructional guides designed to teach the AI how to approach, analyze, and implement integrations efficiently.

Describe the solution you'd like

  1. Define cursor rules:
    • Research and implement rules to guide the AI when navigating and modifying source files during integration development with rules for writing React components, using Tailwind CSS, writing Storybook stories and more.
    • Develop a clear strategy for the AI to follow file structures and adjust configurations efficiently.
  2. Configure llm.txt:
    • Define and test the configuration for the llm.txt file to specify how the AI should interpret the O2S documentation during the inference process
  3. Refine MCP Server configurations:
    • Update server-side configurations to better support AI-driven requests, ensuring smooth interaction between the MCP server and the codebase.
  4. Create instructional guides for AI:
    • Develop internal guides designed specifically for the AI, teaching it how to:
      • Parse and analyze API documentation for key components.
      • Map APIs to the app's normalized data model.
      • Handle edge cases, such as unsupported operations or conflicting data structures.

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