Real-time payments create an uncomfortable backend engineering problem: customers expect money to move almost instantly, while financial systems still need to preserve accuracy, consistency...
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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...
An AI application can use a powerful model and still feel painfully slow. The problem is often not the LLM itself. A production AI request can pass through...
AI agents are changing what software is expected to do. Traditional applications wait for a user request, execute predefined business logic, call a few...












