Building a FastAPI Application with Kiro

Scaffolding a new API project involves a significant amount of repetitive setup — defining models, writing route handlers, configuring middleware, and wiring up error handling. These are well-understood patterns, but they still take time to implement correctly every time you start a new service. In this walkthrough, I use Kiro to scaffold a complete FastAPI task management API from a single natural language description. The result is a production-ready project structure with Pydantic validation, dependency injection, request logging, and auto-generated Swagger documentation. What I Asked Kiro I described the API I wanted in plain English: "Build a FastAPI task management API with CRUD endpoints, Pydantic models for validation, dependency injection, request logging middleware, and global error handling. Use an in-memory database with seed data. Include status and priority filtering on the list endpoint." Kiro generates code based on the intent of your prompt, not from a fixed template.