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fastapi-code-review

Audit FastAPI codebases for routing, dependency injection, and validation patterns.

Updated Apr 2, 2026
Search Tags:#pydantic#routing#fastapi#async#code-review#dependency-injection
One-click install
npx skills add https://github.com/gouravsingh311/splice-app --skill fastapi-code-review-gouravsingh311
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi-code-review
Source: https://github.com/gouravsingh311/splice-app/tree/main/.agents/skills/fastapi-code-review
Command: npx skills add https://github.com/gouravsingh311/splice-app --skill fastapi-code-review-gouravsingh311

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Audits FastAPI codebases for routing patterns, dependency injection, validation, and async handlers, helping teams improve reliability, consistency, and maintainability.

Core Features & Use Cases

  • APIRouter setup checks: verify proper prefixes, tags, and route grouping.
  • Depends() usage: ensure correct dependency injection and cleanup patterns.
  • Validation & response models: verify Pydantic usage and explicit response_model declarations.
  • Error handling & async patterns: ensure proper exception handling and non-blocking route handlers.
  • Use cases include peer code reviews, onboarding new engineers, and ongoing maintenance of FastAPI projects.

Quick Start

Run a comprehensive FastAPI code review on your project to identify routing, DI, and validation gaps.

Frequently Asked Questions about fastapi-code-review

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

FAQPage Schema
How do I review FastAPI routing patterns and dependency injection?▼

To review FastAPI routing and dependency injection, audit APIRouter setups for proper prefixes and tags, and verify Depends() usage to ensure correct dependency injection and cleanup patterns across your project.

What is the best way to validate Pydantic models and response_model declarations in FastAPI?▼

Validating Pydantic models in FastAPI involves checking explicit response_model declarations and verifying proper validation logic to ensure consistency and maintainability across your API endpoints.

How do I check FastAPI async handlers for non-blocking I/O and proper error handling?▼

Checking FastAPI async handlers requires auditing route handlers to ensure non-blocking I/O operations, verifying proper exception handling, and confirming adherence to FastAPI best practices for async patterns.

Can I use this FastAPI code review for large applications with complex APIRouter setups?▼

Yes, this FastAPI code review applies to small and large apps using APIRouter setups, verifying route grouping, explicit status codes, response models, and adherence to FastAPI best practices across complex codebases.

Why does my FastAPI code review need to check explicit status codes and response models?▼

FastAPI code reviews check explicit status codes and response models to improve reliability and consistency, ensuring endpoints properly declare expected responses and adhere to maintainable FastAPI best practices.

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