Is the project structure scalable?

Absolutely. It uses a modular architecture with separate layers for API routes, business logic (services), and data access (repositories), making it easy to manage large codebases.

Does this skill support PostgreSQL?

Yes, it includes implementation patterns for async SQLAlchemy compatible with PostgreSQL and other SQL databases using the latest async drivers.

Does it handle authentication?

Yes, it provides standard patterns for JWT-based security, including token creation, password hashing with bcrypt, and dependency-based authorization.

Can I use this for microservices?

Yes, the lightweight and high-performance nature of the generated FastAPI code is ideal for microservice architectures and containerized deployments.

FastAPI Project Scaffolding

Name: FastAPI Project Scaffolding
Author: HermeticOrmus

byHermeticOrmus

Desarrollo de API

Scaffolds production-ready FastAPI applications with async patterns, dependency injection, and clean architecture.

Acerca de

This skill provides a comprehensive framework for building high-performance Python APIs using FastAPI. It implements industry best practices including a modular project structure with dedicated layers for API routes, business logic, and data persistence. By utilizing advanced patterns like the Generic Repository, async SQLAlchemy integration, and JWT authentication, it ensures that your backend projects are scalable, maintainable, and type-safe from the start. It is particularly useful for developers who need to move beyond simple scripts to professional, enterprise-grade web services.

Características Principales

Generic Repository and Service layer implementation patterns
Async SQLAlchemy 2.0 and PostgreSQL integration
Modular clean architecture project layout
0 GitHub stars
Robust JWT-based authentication and authorization flows
Pydantic V2 schema validation and environment management

Casos de Uso

Implementing enterprise-grade CRUD operations with complex database relationships
Bootstrapping a new high-performance microservice from scratch
Refactoring synchronous Python APIs to modern async FastAPI patterns

Acerca de

Características Principales

Generic Repository and Service layer implementation patterns
Async SQLAlchemy 2.0 and PostgreSQL integration
Modular clean architecture project layout
0 GitHub stars
Robust JWT-based authentication and authorization flows
Pydantic V2 schema validation and environment management

Casos de Uso

Implementing enterprise-grade CRUD operations with complex database relationships
Bootstrapping a new high-performance microservice from scratch
Refactoring synchronous Python APIs to modern async FastAPI patterns