AI applications are becoming increasingly conversational, interactive, and real-time. Users expect an answer to start appearing immediately rather than waiting...
Tag - Backend Development
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...
API rate limiting is supposed to protect backend systems. It prevents abuse, controls traffic spikes, protects databases, and keeps one consumer from...
Choosing an API architecture is no longer a simple decision between familiar HTTP endpoints and newer alternatives. Modern backend applications serve web...
Modern backend applications can have excellent infrastructure, fast application servers, and well-designed APIs, yet still feel painfully slow. One of the most...
For years, the standard architecture for AI applications was straightforward. The user interacted with a mobile app, browser, or desktop application. That...
Microservices were supposed to make software easier to scale. Instead, many engineering teams discovered that they had scaled their architecture faster than...
GraphQL changed how developers think about APIs. Instead of maintaining multiple endpoints for different resources, clients could request exactly the fields...
Retrieval-Augmented Generation has become one of the standard architectures for building AI applications that need access to private, current, or domain...
LLM APIs made it remarkably easy to add intelligence to a backend application. A developer can connect an API, send a prompt, receive a response, and move an...
