What makes this template 'production-ready'?

It includes structured error handling, CORS middleware, security best practices (JWT/Bcrypt), and a modular architecture that separates data access from business logic.

Can I use this for microservices?

Absolutely. The lightweight yet structured nature of these templates makes them ideal for building individual microservices that need to be fast and independently scalable.

How is the project structured?

It follows a professional layout with dedicated directories for API routes, core configuration, data models, Pydantic schemas, services, and repositories.

Does it support asynchronous database operations?

Yes, it specifically implements async/await patterns using SQLAlchemy's AsyncSession for high-concurrency performance.

FastAPI Production Templates

Name: FastAPI Production Templates
Author: Microck

byMicrock

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API開発

Generates production-grade FastAPI project architectures featuring async patterns, repository structures, and robust dependency injection.

概要

This skill provides standardized, enterprise-ready templates for building high-performance Python backends with FastAPI. It enforces best practices such as a modular directory layout, the repository/service pattern for clean separation of concerns, and full asynchronous database integration with SQLAlchemy. By providing scaffolding for JWT authentication, Pydantic schemas, and global error handling, it allows developers to focus on business logic while ensuring their API remains scalable, maintainable, and secure from day one.

主な機能

Automated dependency injection for database and configuration
Asynchronous CRUD repository pattern implementation
JWT-based authentication and authorization flows
Production-ready Pydantic V2 schema integration
Modular directory structure for scalable microservices
81 GitHub stars

ユースケース

Refactoring synchronous Python APIs to modern asynchronous patterns
Implementing secure user management systems with password hashing
Bootstrapping a new high-performance microservice from scratch

概要

主な機能

Automated dependency injection for database and configuration
Asynchronous CRUD repository pattern implementation
JWT-based authentication and authorization flows
Production-ready Pydantic V2 schema integration
Modular directory structure for scalable microservices
81 GitHub stars

ユースケース

Refactoring synchronous Python APIs to modern asynchronous patterns
Implementing secure user management systems with password hashing
Bootstrapping a new high-performance microservice from scratch