Engineering For Vibe Coders

One of the more surprising performance issues developers encounter in cloud applications is that the first request is sometimes slower than every request that follows. This phenomenon, known as a cold start, is a normal part of many serverless and cloud-native architectures. In this article, we explore what cold starts are, why they happen, when they actually matter, how AI workloads can amplify them, and the engineering habits that help developers make thoughtful performance decisions instead of premature optimizations.

Some of the most important parts of modern software happen behind the scenes. Scheduled tasks generate reports, process payments, clean up data, send reminders, synchronize systems, and perform countless other jobs automatically. They are essential to building reliable, scalable applications.

One of the first challenges developers encounter when building interactive applications is figuring out how to deliver information in real time. Modern applications often need live updates for AI chat responses, notifications, dashboards, monitoring systems, collaborative tools, and messaging platforms. While both WebSockets and Server-Sent Events (SSE) enable real-time experiences, they solve different problems and involve different tradeoffs. In this article, we explore WebSockets versus SSE for vibe coders, including communication patterns, AI streaming use cases, complexity considerations, scalability tradeoffs, and the engineering habits that help developers choose the right real-time technology for their applications.