Docker Sandbox Kits solve the problem of manually configuring AI sandboxes for every developer on a team. Rather than requiring each developer to independently set up network policies, MCP servers, and tool settings, a Kit packages everything into a single shareable, versioned configuration that launches with one command. A Kit consists of a spec file defining the agent image, network policy, install commands, and environment variables, along with a files tree for injecting configuration into the sandbox. The post walks through a practical example using Kiro with AWS IAM Identity Center authentication and the AWS Documentation MCP server. Kits can be distributed via ZIP files, OCI registries, or Git references, and should be version-controlled like any team configuration. However, Kits have limitations: network policies can still be overridden by developers, and workspace-level MCP configurations take precedence over kit-installed ones, meaning the Kit establishes a consistent starting point but does not enforce a completely locked-down environment.