Search for a command to run...
📌 GitHub Repository: AI Engineer Foundation In the previous blog, I explained provider abstraction, model registry, inference routing, fallback, retries, and circuit breakers. That answered one impor
📌 GitHub Repository: AI Engineer Foundation In the previous blog, I explained the full AI request pipeline. Now I want to zoom into one specific part of that pipeline: provider abstraction -> model r
📌 GitHub Repository: AI Engineer Foundation After learning FastAPI fundamentals, authentication, dependency injection, and routing, I added the part that started the whole project for me: AI integrat
📌 GitHub Repository: AI Engineer Foundation Dependency injection was one of those concepts that looked simple at first, but became more important as the project grew. In the beginning, I thought it o
📌 GitHub Repository: AI Engineer Foundation Authentication is one of the most important parts of backend development. Before adding advanced AI features, I wanted to understand how users register, lo
📌 GitHub Repository: AI Engineer Foundation Routing is where HTTP requests enter the application. In a small FastAPI project, it is common to keep every route in main.py. That is fine for learning th
📌 GitHub Repository: AI Engineer Foundation After learning project structure and database migrations, the next concept I wanted to understand was async programming. FastAPI supports both synchronous
📌 GitHub Repository: AI Engineer Foundation After setting up the FastAPI project structure, the next backend concept I wanted to understand was database migration. At the beginning, it is tempting to
📌 GitHub Repository: AI Engineer Foundation When I started this project, my first goal was simple: Learn Python FastAPI by building a real backend service. But very quickly I realized something impo
