Running AI agents with customized templates using docker sandbox

This article explains how to create custom Docker sandbox templates for running AI agents safely, building on a previous post about using the sbx tool. It covers adding tools to default templates, starting with different Docker images, and layering sandbox tooling. The author shares a caveat about .NET build issues and emphasizes the importance of sandboxes for security, isolating agents from the host machine. Examples focus on Claude Code templates, including variants with and without Docker Engine, and provide instructions for installing package manager dependencies and tools like dotnet. The post is relevant to IT/technology, specifically AI agent development, Docker, and DevOps practices.