What It's Actually Like to Use Docker Sandboxes with Claude Code

Docker Sandboxes provide a promising solution for safely running AI coding agents in isolated environments, addressing concerns about unintended system access by restricting agents to specific directories. The setup process is straightforward, and the initial experience is seamless, making it easy to forget the sandbox is in use. However, when tasked with complex development work, limitations become apparent, such as the need for manual configuration of dependencies, challenges with API access, and loss of context when restarting with new environment variables. While Docker Sandboxes successfully isolate execution, they do not address broader concerns about agent permissions and interactions with external systems, highlighting a need for more comprehensive solutions like Arcade for managing agent risk in real-world workflows.