Hamzapixl Pixl AI Fastapi API

Overview

Builds a complete FastAPI backend: scaffolds the service, adds CRUD endpoints for each entity, sets up authentication, and deploys.

Suggested Team

• architect — API design, data model, authentication strategy
• backend-engineer — Service implementation, endpoint creation
• qa-engineer — Test writing, API testing

Process

Phase 1: Design

1. Define the API's entities and relationships
2. Design the URL structure and HTTP methods
3. Choose authentication method (JWT, API keys, OAuth)
4. Plan database schema

Phase 2: Scaffold

5. Run /fastapi-service to scaffold the base service
6. Set up database (SQLAlchemy models, migrations)
7. Add authentication middleware

Phase 3: Implement

8. For each entity, run /pydantic-api-endpoint to add CRUD endpoints
9. Add business logic and validation rules
10. Add inter-entity relationships and nested routes
11. Add pagination, filtering, and sorting

Phase 4: Quality & Deploy

12. Write tests for each endpoint (happy path + edge cases)
13. Run /self-review-fix-loop for quality assurance
14. Add OpenAPI documentation (auto-generated by FastAPI)
15. Run /docker-cloudrun for containerization and deployment
16. Verify: all tests pass, API documentation accessible, health check responds

Source: hamzaPixl/pixl-ai — distributed by TomeVault.