For years, the standard approach to building AI applications was simple. The application lived on the user’s device, but the intelligence lived somewhere else. A user sent a request. The...
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For years, backend architecture followed a predictable model: the client sent a request, the server processed it, the database stored the result, and the...
AI agents are moving beyond answering questions. They can now call APIs, create transactions, interact with payment systems, manage subscriptions, trigger...
Legacy systems rarely disappear in a single modernization project. In large organizations, critical applications often contain years of accumulated logic...
AI is changing how backend APIs are designed. Applications are no longer limited to predictable requests from authenticated users. LLM-powered systems can...
