I started with a real task: let an AI coding agent containerize a Product Catalog app, and make it pick Docker Hardened Images (DHI) for its base layer by talking to the DHI MCP server at https://dhi.io/mcp. The first version was a pile of imperative sbx flags
What if an AI agent could run an A/B test all by itself? This tutorial walks you through building one on Docker Cloud Sandboxes.
More than 30K technologists from 169 countries have shared their thoughts with us, and now it’s time to share everything we’ve learned with you. So let’s dive into this year’s Annual Developer Survey and where Docker stood in the results
AI agents are no longer just chat assistants. A year ago, most of us used AI to answer questions or suggest a few lines of code. Today, agents write whole features, run shell commands, install packages, call APIs and push changes to real systems. Many of them do this with
Ask a developer what Docker is for and you still get "it packages my app." That answer was complete five years ago. Here is one morning with one app, and five Docker capabilities most people have not tried yet: Gordon, Testcontainers, Scout, Hardened Images, and Sandboxes.
AI coding agents now run for a long time. A single task can take hours: a refactor, a full test run, a migration. The question is no longer whether the model can finish the work, but where that work should run. Your laptop is fine for the first few minutes,
Giving an agent a filesystem, a shell, and a network hands generated code the same reach your laptop has. Here's how to package DeepAgents as a Docker Sandbox Kit that runs fully isolated against a local Docker Model Runner, with no cloud credentials and a one-command install.
I’ve been in the Docker community since 2015. I’ve written more docker run tutorials than I can count, and I still get people in the Collabnix Slack asking me which base image to use for their Spring Boot app. That question is still valid. But it is no
An AI-BOM is a machine-readable inventory of the models, datasets, prompts and agents your AI system depends on. Here is how it extends the SBOM you already ship
Docker Sandboxes 0.39 lets Claude Code's /remote-control run inside a microVM. Drive an isolated agent from your phone while your host filesystem stays out of reach. Here is how to turn it on, plus the credential requirement that trips up most first attempts.
A hands-on tour of the MCP gateway, kit spec v2, structured startup progress, per-sandbox network deny rules, and daemon restart introduced in Docker Sandboxes (sbx) 0.38.0.
Claude Code, like most agentic coding tools, asks for permission before it does anything consequential: editing a file, running a shell command, installing a package, or making a network call. That permission system is a safety rail. 💡"Yolo mode" is the community nickname for turning that rail off
