Building FastAPI Applications with Cursor and AI Assistants

AI-powered coding assistants are transforming how we write software, but knowing how to guide these tools is key to building reliable applications. This text-only course guides you through using Cursor and LLMs to construct a modern web API. You will transition from manual coding to AI-assisted development, learning how to prompt, refine, and structure a complete FastAPI CRUD application that handles data validation and database operations seamlessly. What you'll learn: - Understand the fundamentals of FastAPI, Pydantic, and modern Python type hints. - Configure the Cursor editor to leverage LLMs for rapid application scaffolding. - Build a complete CRUD (Create, Read, Update, Delete) API with structured endpoints. - Apply effective prompting strategies to generate clean, maintainable backend code. - Practice debugging and refining AI-generated code to ensure reliability and performance. - Implement basic unit tests using pytest to verify your application's behavior. You will start with the core concepts of API design and AI-assisted workflows before moving on to hands-on exercises. Through step-by-step written instructions, you will construct, test, and optimize your backend application. This course is designed for beginner Python developers and curious creators who want to explore AI-driven development. No prior experience with FastAPI or Cursor is required. Start reading today to build your first AI-assisted backend application.