Modern Python Architecture
Architects modern, production-grade Python projects using uv, Ruff, FastAPI, Pydantic v2, and async design patterns.
The Modern Python Architecture skill guides developers and AI agents in structuring clean, maintainable Python applications tailored for modern standards. It enforces best practices such as strict type annotations, unified package management via uv, fast linting and formatting with Ruff, and end-to-end async workflows. By standardizing on a clean src-layout, centralized pyproject.toml configuration, layered application architecture, and LiteLLM proxy integration, this skill is ideal when scaffolding new APIs, CLI tools, microservices, or backend data pipelines without legacy baggage.
Key Features
01263 GitHub stars
02Standardized src-layout architecture with clean separation across models, services, and repositories
03Strict type hinting and configuration management using Pydantic v2 and Pydantic Settings
04Full async FastAPI boilerplate with lifespan context management and structured error handling
05Unified LLM client setup leveraging LiteLLM proxy for multi-provider AI integrations
06Modern tooling stack setup using uv for dependency management and Ruff for linting/formatting
Use Cases
01Scaffolding production-ready FastAPI backends and microservices from scratch
02Building type-safe, asynchronous LLM applications and data processing pipelines
03Modernizing legacy Python repositories with pyproject.toml, uv, and strict Ruff configurations