Homegrown sessions and state will get you started and local devs can rely on filesystems and git, but for scalable, maintainable deployed agents you need more. Every LLM turn is a compiled view across state, session, memory, artifacts, tool responses, examples, and instructions. Check out how to go from "it works" to "it works great at scale" with context engineering best practices, architectures, and services.