fastapi-engineer

Build a FastAPI backend for content delivery and quiz grading by creating deterministic RESTful APIs using SQLAlchemy for database models and Pydantic for data validation. This approach structures course materials, navigation, and rule-based grading without relying on LLM calls.

Yes, FastAPI works with SQLAlchemy and Pydantic for educational platforms. This combination enables proper authentication and authorization while building RESTful APIs for course progression, content management, and rule-based quiz grading systems.

Implement rule-based quiz grading in a FastAPI backend by developing deterministic API routes that evaluate multiple question types and provide immediate feedback. This method uses Zero-Backend-LLM principles to ensure no LLM calls exist in core grading routes.

FastAPI supports navigation features for course progression without LLM dependencies by applying Zero-Backend-LLM principles. It builds deterministic RESTful APIs that guide users through modules and deliver content efficiently using standard backend components.

Structure a FastAPI project for a course companion application by initializing a recommended project layout that separates scripts, references, and assets. This structure supports content delivery, navigation, and quiz grading using FastAPI, SQLAlchemy, and Pydantic.

Use a deterministic FastAPI backend instead of LLM calls for quiz grading to ensure consistent, rule-based evaluation with immediate feedback. Zero-Backend-LLM principles keep core API routes predictable, which is essential for educational platforms and content management systems.