Your AI agent is sandboxed. Its data still needs guardrails.
AI coding agents need access to real development context to be useful. They read repositories, modify files, execute commands, call tools, and communicate with external models. Docker Sandboxes gives those agents an isolated environment where they can work without unrestricted access to the developer’s host. But consider a simple scenario. An agent running entirely inside its sandbox reads a credential from a project configuration file and includes it in an otherwise legitimate request to its LLM.
