The era of the "loading spinner" is dying. If you’ve used ChatGPT, Claude, or any modern generative AI, you’ve noticed the experience isn't about waiting for a monolithic block of text to appear after ten seconds of silence. Instead, the AI "types" to you in real-time. This is token streaming , and it has fundamentally shifted the paradigm of how we build and consume AI-driven applications. For Swift developers, implementing this isn't just about making things look "cool." It’s about performance, memory efficiency, and perceived latency. In this post, we’ll dive into how to leverage URLSession , AsyncBytes , and Swift’s modern concurrency model to bring real-time AI streaming to your Apple platform apps. The Paradigm Shift: From Batching to Streaming Traditionally, networking followed a simple pattern: send a request, wait for the server to finish its work, and receive a complete Data object. While this works for fetching a user profile, it fails for Large Language Models (LLMs).…