Web infrastructure giant Cloudflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that it says starts in milliseconds, uses only a few megabytes of memory, and can run on the same machine — even the same thread — as the request that created it. Compared with traditional Linux containers, the company says that makes Dynamic Workers roughly 100x faster to start and between 10x and 100x more memory efficient.Cloudflare has spent months pushing what it calls “Code Mode,” the idea that large language models often perform better when they are given an API and asked to write code against it, rather than being forced into one tool call after another. The company says converting an MCP server into a TypeScript API can cut token usage by 81%, and it is now positioning Dynamic Workers as the secure execution layer that makes that approach practical at scale.For enterprise technical decision makers, that is the bigger story. Cloudflare is trying to turn sandboxing itself into a strategic layer in the AI stack. If agents increasingly generate small pieces of code on the fly to retrieve data, transform files, call services or automate workflows, then the economics and safety of the runtime matter almost as much as the capabilities of the model. Cloudflare’s pitch is that containers and microVMs remain useful, but they are too heavy for a future where millions of users may each have one or more agents writing and executing code constantly.The history of modern isolated runtim …
