Dependencies and Project Structure

In Episode 2 of my playlist, Building Production-Ready Generative AI Systems Brick by Brick, we focus on one of the most important but often ignored parts of AI development: creating a strong backend foundation. This video covers how to properly structure a FastAPI project using clean and scalable directory layouts. We walk through the purpose of folders such as app, routes, services, middleware, and config, and discuss how professional engineers organize Python applications for long-term maintainability. We also cover virtual environments and why isolating dependencies is essential when working across multiple projects. In addition, I explain the difference between production and development dependencies, along with tools like Mypy, Black, and Autoflake that help improve code quality, consistency, and maintainability. Using PatientScribe as our working example, this episode is designed to help developers move beyond messy prototypes and start building backend systems that real teams can confidently scale and deploy. If you are learning FastAPI, Python backend development, or planning to build serious Generative AI products, this video will give you the right foundation. #Python #FastAPI #BackendDevelopment #SoftwareEngineering #GenerativeAI #Programming #Coding #CleanCode