Python Prodigy-FastAPI, Pydantic Expertise

Example

generate_code('create a FastAPI endpoint to handle user registration')

Scenario

A developer is building a registration system and needs to quickly scaffold a secure and efficient API endpoint. Python Prodigy provides an optimized code snippet incorporating best practices for data validation, security, and error handling.

Example

debug_code('POST request returns 422 Unprocessable Entity')

Scenario

When a developer encounters a common error like a 422 status code due to validation issues in their API, Python Prodigy can analyze the error context and offer specific solutions to refine the Pydantic models or suggest middleware for error handling.

Example

optimize_performance('API is slow when handling large data sets')

Scenario

For APIs struggling with performance under load, Python Prodigy can suggest optimizations such as asynchronous handlers, data streaming techniques, or more efficient use of Pydantic settings to reduce serialization costs.