fastapi-best-practices

Name: fastapi-best-practices
Availability: InStock
Author: DataMKTKorea

Provide FastAPI architectural guidelines and coding best practices.

Updated Jan 24, 2026

Search Tags:#testing #best practices #hexagonal architecture #DDD #FastAPI #code conventions

Ready to run

npx skills add https://github.com/datamktkorea/agent-skills --skill fastapi-best-practices-datamktkorea

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fastapi-best-practices
Source: https://github.com/datamktkorea/agent-skills/tree/main/plugins/dmk-stack/skills/fastapi-best-practices
Command: npx skills add https://github.com/datamktkorea/agent-skills --skill fastapi-best-practices-datamktkorea

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers adhere to best practices in FastAPI development, ensuring maintainability and scalability of their projects.

Core Features & Use Cases

Best Practice Guidelines: Provides comprehensive guidelines for project structure, code organization, and common patterns in FastAPI.
Architecture Principles: Covers Domain-Driven Design (DDD) and Hexagonal Architecture principles for scalable applications.
Code Convention: Defines code conventions for interface, application, domain, and infrastructure layers.
Testing Pyramid: Offers a strategy for unit testing, integration testing, and end-to-end testing.
Performance and Caching: Explains the Cache-Aside pattern and best practices for caching.
Logging: Details logging rules and best practices for observability.
Configuration Management: Shows how to manage configurations using pydantic-settings.
Database Session Management: Discusses two approaches for managing database sessions: Session-per-Request and Unit of Work.

Quick Start

Use the fastapi-best-practices skill to review the architecture and code conventions of your FastAPI project.

Frequently Asked Questions about fastapi-best-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I structure a FastAPI project using hexagonal architecture and DDD?▼

Structure your FastAPI project by separating interface, application, domain, and infrastructure layers. This hexagonal architecture approach isolates business logic, ensuring your domain remains independent of frameworks and databases for better maintainability.

What is the best way to manage database sessions in FastAPI?▼

The best way to manage database sessions in FastAPI involves choosing between Session-per-Request and Unit of Work approaches. These strategies ensure proper transaction boundaries and resource cleanup for scalable applications.

How do I configure the testing pyramid for a FastAPI application?▼

Configure the FastAPI testing pyramid by implementing unit tests, integration tests, and end-to-end tests. This strategy validates individual components, module interactions, and complete user flows to ensure comprehensive coverage.

How does pydantic-settings work for configuration management in FastAPI?▼

Pydantic-settings works for FastAPI configuration management by validating environment variables and external settings. It provides type-safe configuration loading, ensuring your application starts with correctly typed and validated parameters.

What are the code conventions for FastAPI layers?▼

FastAPI code conventions define specific rules for interface, application, domain, and infrastructure layers. These guidelines standardize code organization, ensuring consistent separation of concerns across your development team.

When should I use the Cache-Aside pattern in FastAPI?▼

Use the Cache-Aside pattern in FastAPI to improve performance by loading data into cache on demand. This approach reduces database load and latency for frequently accessed, read-heavy operations.