Your AI application works perfectly in development. The model produces useful answers, the API returns valid responses, and the initial demo looks promising. Then real users arrive. Requests take...
Technology
Event-driven architecture looks elegant on a whiteboard. A service publishes an event, another service consumes it, and the system continues without forcing...
Real-time payments create an uncomfortable backend engineering problem: customers expect money to move almost instantly, while financial systems still need to...
The first generation of AI applications often had a surprisingly simple backend architecture. An application accepted a request, sent it to an LLM API...
AI applications are becoming increasingly conversational, interactive, and real-time. Users expect an answer to start appearing immediately rather than waiting...
