A technical deep dive into how Docker Sandboxes shares agent skills - the import flow, the persistent store, per-platform paths, the read-write trust boundary, and how it differs from shipping skills through a kit.
Here's a quick 9 tips for Sandboxing your AI agents with Docker Sandboxes Kits
Everything you want to know about the latest Docker sbx 0.35.0
Docker Model Runner supports three inference engines namely llama.cpp, vLLM, and Diffusers. Each engine has different strengths, supported platforms, and model format requirements. This blog article helps you in making a decision to choose the right engine and configure it for your use case.
Most developers running Claude Code today run it directly on their host machine. That means the agent shares an environment with your SSH keys, your AWS credentials, your browser sessions, and every other project on your laptop. A container helps, but a container is not a sandbox. A shared kernel
💡Updated for sbx v0.37.0-rc1. The SSH feature is still experimental and the command surface has moved since the first nightly builds. The examples below were re-run end to end on my own machine against v0.37.0-rc1, and every command here is verified working. If
Your weekly digest of Cloud-Native AI, Docker Sandboxes, and Model Context Protocol innovations.
Docker Sandboxes (sbx) runs your coding agent inside a microVM instead scoped to a single project directory, behind a network policy you control. Here's how to set it up on Windows, step by step.
Running an AI agent in a Docker Sandbox raises one question first: where do the API keys live. This hands-on guide wires the 1Password CLI into Docker Sandboxes so credentials resolve from your vault on demand and never sit in plaintext inside the container.
The Laptop is the New Prod
Run the Pi coding agent in an isolated microVM in about ten minutes, with your API key kept on the host and out of the agent's reach. A step-by-step walk through the official Pi kit for Docker Sandboxes.
Claude Code sandboxed in a microVM, egress filtered, credentials never entering the VM ~ as a shareable kit. Here's how it works and how to build your own.
