What architecture does this skill follow?

It implements a modular architecture using the Repository and Service patterns to ensure a clean separation of concerns between data access and business logic.

How is authentication handled in these templates?

The skill provides patterns for JWT-based security, including password hashing with passlib and dependency-based authorization for protected routes.

Does it support asynchronous database operations?

Yes, the templates include configurations for Async SQLAlchemy sessions and fully asynchronous route handlers to ensure high concurrency.

Is this skill suitable for microservices?

Absolutely. The structured layout, async performance, and clear dependency management make it ideal for scalable microservice architectures.

FastAPI Production Templates

Name: FastAPI Production Templates
Author: Activer007

byActiver007

Desarrollo de API

Generates professional FastAPI project architectures featuring async patterns, dependency injection, and scalable repository structures.

Acerca de

This skill empowers developers to scaffold robust, production-grade FastAPI applications using industry best practices. It provides comprehensive templates for asynchronous REST APIs, including structured directory layouts, Pydantic schemas, SQLAlchemy integration with async sessions, and a clean separation of concerns through service and repository layers. It is specifically designed to help users build high-performance microservices and backend systems that require secure authentication, middleware, and efficient data management from the ground up.

Características Principales

Advanced Dependency Injection patterns
Async SQLAlchemy and Pydantic v2 integration
CRUD Repository and Service layer architecture
JWT-based authentication and authorization templates
Production-ready modular directory structure
0 GitHub stars

Casos de Uso

Scaffolding a new high-performance microservice with best practices
Implementing secure async database operations with PostgreSQL or MongoDB
Refactoring existing Python APIs into a maintainable, layered architecture

Acerca de

Características Principales

Advanced Dependency Injection patterns
Async SQLAlchemy and Pydantic v2 integration
CRUD Repository and Service layer architecture
JWT-based authentication and authorization templates
Production-ready modular directory structure
0 GitHub stars

Casos de Uso

Scaffolding a new high-performance microservice with best practices
Implementing secure async database operations with PostgreSQL or MongoDB
Refactoring existing Python APIs into a maintainable, layered architecture