PostAs I continue building my AI Document API with FastAPI, I’m reminding myself to look beyond the happy path.

As I continue building my AI Document API with FastAPI, I’m reminding myself to look beyond the happy path. It’s easy to test an endpoint with valid data and celebrate when everything works. But what happens when: - The client sends invalid data? - The requested document doesn't exist? - A database operation fails? - A user tries to access something they aren't authorized to access? For me, the goal isn’t simply to make each endpoint work. It’s to understand how it behaves when things go wrong, too. That’s one of the things I’m exploring as I build this project step by step with FastAPI. A good API should handle the expected path well and fail predictably when things go wrong. As developers, we should test more than whether our code works. We should also test how it fails. When reviewing an API endpoint, what do you check first: input validation, error handling, or authorization? 🔗 GitHub project: https://github.com/epythonlab2/ai-document-api 🎥 Follow the FastAPI course series: https://www.youtube.com/watch?v=0SLLG2Z_Htw&list=PLQNCas8_eikM #FastAPI #Python #APIDevelopment #BackendDevelopment #SoftwareEngineering