Does this skill support asynchronous programming?

Yes, it is built specifically for async workflows, utilizing asyncpg for PostgreSQL and FastAPI's native asynchronous dependency injection.

How does it handle project structure?

It implements a clean separation of concerns with dedicated directories for API routes, Pydantic schemas, database models, and a services layer for business logic.

Is it compatible with legacy Pydantic or SQLAlchemy versions?

This skill focuses on modern 2025 standards (Pydantic v2 and SQLAlchemy 2.0) and helps refactor older patterns into these more performant versions.

Can I use this for database migrations?

The skill provides the foundational SQLAlchemy 2.0 models and engine setup required for migration tools like Alembic to function correctly.

What tools are included in the Modern Python Backend stack?

The skill uses uv for 100x faster package management, ruff for linting/formatting, FastAPI for the framework, SQLAlchemy 2.0 for async database access, and Pydantic v2 for validation.

Modern Python Backend Development

Name: Modern Python Backend Development
Author: timequity

bytimequity

Desarrollo de API

Builds high-performance Python APIs and asynchronous backend services using a modern stack including FastAPI, SQLAlchemy 2.0, and uv.

Acerca de

This skill provides a comprehensive blueprint for developing professional Python backends using industry-leading tools and patterns as of 2025. It automates the setup of high-performance environments using uv and ruff, implements robust asynchronous database interactions with SQLAlchemy 2.0, and enforces strict data validation via Pydantic v2. Designed for developers building scalable web services, it ensures consistent project structures, efficient dependency injection, and clean service-layer architecture while avoiding common legacy anti-patterns.

Características Principales

Strict type safety and validation with Pydantic v2 schemas
Production-grade FastAPI implementation with lifespan management
High-speed environment setup and linting using uv and ruff
Modern asynchronous ORM patterns using SQLAlchemy 2.0 Mapped types
Standardized multi-layer project architecture for scalability
0 GitHub stars

Casos de Uso

Bootstrapping a production-ready asynchronous REST API from scratch
Implementing high-performance microservices with integrated linting and testing
Migrating legacy Python backends to modern SQLAlchemy and Pydantic patterns

Acerca de

Características Principales

Strict type safety and validation with Pydantic v2 schemas
Production-grade FastAPI implementation with lifespan management
High-speed environment setup and linting using uv and ruff
Modern asynchronous ORM patterns using SQLAlchemy 2.0 Mapped types
Standardized multi-layer project architecture for scalability
0 GitHub stars

Casos de Uso

Bootstrapping a production-ready asynchronous REST API from scratch
Implementing high-performance microservices with integrated linting and testing
Migrating legacy Python backends to modern SQLAlchemy and Pydantic patterns