Skip to content

McKlay/codebase-architecture

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

GitHub last commit GitHub Repo stars GitHub forks MIT License

Visitors

Codebase Architecture: Designing for Scale, Modularity, and Sanity

"A practical, developer-first handbook for structuring React + FastAPI projects—from AI MVPs to scalable platforms."

Live Site: https://mcklay.github.io/codebase-architecture/
Author: Clay Mark Sarte
Built with MkDocs Material | Covers React + Vite + FastAPI | AI-first ready


What This Is

This is a book-style, structured guide for software engineers who care deeply about folder structure, modularity, scalability, and architectural sanity—especially in the age of AI-driven, full-stack applications.

Whether you're:

  • building your first AI-powered prototype,
  • collaborating across teams,
  • or refactoring a tangled monolith into scalable layers—

This guide walks you through real-world patterns, decisions, trade-offs, and templates used in React + FastAPI ecosystems.


Table of Contents (Brief)

  • Part 1 – Foundations
    Why folder structure matters. How modularity and scalability impact collaboration and maintainability.

  • Part 2 – Modularity
    Feature-first folder structures for React + FastAPI. Ideal for solo devs, MVPs, and isolated features.

  • Part 3 – Scalability
    Layered architecture. Cross-team readiness. How to scale shared logic, services, and infrastructure.

  • Part 4 – Hybrid & Advanced
    Combining modular and scalable structures. Monorepos, shared logic, refactor-safe migration paths.

  • Part 5 – Case Studies & Templates
    Real-world AI apps. Smart Receipt Analyzer, GPT-powered Chatbot, and Mockup-to-Code tool. Includes clone-ready templates.


Built With

  • Markdown-first structure
  • MkDocs Material (for future site deployment)
  • Real code examples using React + Vite and FastAPI
  • AI-first use cases (OCR, GPT, vector DBs)
  • Docker, CI/CD, and deployment structure guides

Getting Started

# Clone the repo
git clone https://github.com/McKlay/codebase-architecture.git
cd codebase-architecture

# Optional: Setup MkDocs site locally
pip install mkdocs mkdocs-material pymdown-extensions
mkdocs serve

Templates and Samples

You'll find downloadable folder templates under /templates/:

  • modular-react-fastapi-template/
  • scalable-react-fastapi-template/
  • hybrid-ai-app-template/

Each template includes:

  • Clean folder breakdown
  • Feature/sample implementation
  • README + bootstrap instructions

Preview Chapters

Chapters are organized in Markdown under /docs/ and can be browsed directly or rendered as a site via MkDocs.


Status

In Progress New chapters are being added weekly. Feedback, ideas, and contributions are always welcome!


License

MIT License © Clay Mark Sarte
Open for learning, remixing, and evolving—credit where credit is due.


About

A practical, developer-first handbook for structuring React + FastAPI projects—from AI MVPs to scalable platforms.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published