on_boarding.md

graph LR
    Content_Source["Content Source"]
    Backend_Service["Backend Service"]
    Frontend_Application["Frontend Application"]
    Content_Source -- "Provides Raw Markdown" --> Backend_Service
    Backend_Service -- "Serves Processed Data via API" --> Frontend_Application
    Frontend_Application -- "Requests Processed Data via API" --> Backend_Service
    click Frontend_Application href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/claude-code-testing/Frontend_Application.md" "Details"

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Details

The CodeBoarding project operates as a web application designed to display interactive onboarding guides. At its core, the system processes raw markdown files into a structured format, which is then consumed and rendered by a user-facing interface. This architecture promotes a clear separation of concerns: content storage, data processing and serving, and user interface presentation. The flow begins with markdown files residing in a local content directory, which are then accessed and transformed by a Python backend. This backend exposes the processed data via a RESTful API, enabling a React-based frontend to dynamically fetch and display the onboarding content.

Content Source

A local directory storing raw markdown files, which serve as the foundational content for the onboarding guides.

Related Classes/Methods: None

Backend Service

A Python FastAPI application responsible for reading, parsing, and processing the markdown content from the Content Source. It exposes this processed data as structured information through a RESTful API.

Related Classes/Methods:

• backend.main

Frontend Application [Expand]

A React TypeScript application that consumes the structured data from the Backend Service's API. It dynamically renders interactive user interfaces and displays the onboarding guides to the end-user.

Related Classes/Methods:

• frontend.App

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