Does this skill follow a specific architectural pattern?

Yes, it implements a modular Repository/Service pattern which decouples data access from business logic, making the code more testable and maintainable.

Is the database integration asynchronous?

Absolutely. The templates are designed around SQLAlchemy's async engine and session management to ensure high performance under load.

Can I use this for microservices?

Yes, the modular structure and Pydantic-driven configuration make it an ideal starting point for building individual microservices or complex distributed systems.

Does it include built-in authentication?

Yes, it provides implementation patterns for JWT (JSON Web Tokens) and password hashing using passlib and bcrypt.

FastAPI Production Templates

Name: FastAPI Production Templates
Author: Microck

byMicrock

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API Development

Generates production-grade FastAPI project structures featuring modular architecture, async patterns, and dependency injection.

About

This skill provides a comprehensive blueprint for building scalable and maintainable FastAPI applications. It implements high-level architectural patterns including the Repository/Service layer separation, asynchronous database management with SQLAlchemy, and robust Pydantic schema validation. By automating the setup of core configurations, middleware, and security protocols like JWT authentication, it allows developers to focus on business logic while maintaining industry-standard practices for high-performance microservices.

Key Features

Automated Dependency Injection for database sessions and auth
Modular Repository and Service layer architectural patterns
Production-ready JWT authentication and security configurations
Standardized Pydantic schemas for request and response validation
Full asynchronous support for database operations and route handlers
89 GitHub stars

Use Cases

Standardizing project structure across multiple Python API teams
Implementing clean, testable backend architectures for microservices
Bootstrapping new high-performance REST APIs from scratch

About

Key Features

Automated Dependency Injection for database sessions and auth
Modular Repository and Service layer architectural patterns
Production-ready JWT authentication and security configurations
Standardized Pydantic schemas for request and response validation
Full asynchronous support for database operations and route handlers
89 GitHub stars

Use Cases

Standardizing project structure across multiple Python API teams
Implementing clean, testable backend architectures for microservices
Bootstrapping new high-performance REST APIs from scratch