AI Agent Sandbox Architecture: How to Let Agents Run Code Without Letting Them Run Everything

AI Agent Sandbox Architecture A practical developer guide to isolation, egress, secrets, file sync, observability, and approval gates for production AI agents. An AI agent with terminal access is not just a chatbot with extra buttons. It is a process that can write files, install packages, call APIs, browse hostile pages, mutate state, and chain small decisions into large side effects. That is useful. It is also the exact reason sandboxing has moved from “nice security feature” to core agent infrastructure. The mistake many teams make is treating sandboxing as a checkbox.