If you've been following the Docker Sandboxes (sbx) story, you already know the pitch: run your coding agent inside a microVM ~ powered by Docker's own purpose-built VMM that runs natively on Apple's Hypervisor.framework, Windows Hypervisor Platform, and Linux KVM governed by explicit network
AI coding agents are incredibly useful until you realize they're running next to your SSH keys and AWS credentials. Here's how Docker Sandboxes changes that.
OpenClaw is not safe in its default configuration. With deliberate hardening running inside Docker Sandboxes, keeping it patched, binding the gateway to localhost, and auditing every skill, it becomes conditionally safe for personal use.
With 21,000+ GitHub stars and 497 models from 133 providers, llmfit is the fastest way to know which local LLMs will actually run and, run well on your machine.
Containers share your host kernel. A container escape gives root on your machine. MicroVMs don't. They give each agent its own kernel, enforced by hardware. Docker sbx is how you run Claude Code, Codex, or any coding agent with full autonomy and zero host risk. Here's exactly how it works.
Two NVIDIA Blackwell machines. Both fit on your desk. Prices within a few hundred dollars of each other. And yet buying the wrong one is a $3,500 mistake you'll feel every day.
Docker Hardened Images (DHI) are minimal, secure, and production-ready container images maintained by Docker. They're designed to reduce vulnerabilities, simplify compliance, and integrate seamlessly into your existing Docker-based workflows. With the release of Docker Desktop 4.65.0, the docker dhi CLI plugin ships built-in, no manual installation
NemoClaw is a show-don't-tell technology. Labspaces are show-don't-tell teaching. After running NVIDIA's new enterprise AI agent platform on Jetson AGX Thor and Apple Silicon, I turned the whole experience into a guided, browser-based lab — every command, every error, every policy hash.
TL;DR: The short answer is yes. Here's exactly what works, what doesn't, and why.
The GTC conference often dubbed the "Woodstock of AI" returned to the SAP Center in San Jose on March 16, 2026, and Jensen Huang did not disappoint. In a two-hour keynote packed with product launches, philosophical framing, and an Olaf robot from Frozen, the NVIDIA CEO laid out
NVIDIA just dropped NemoClaw at GTC 2026 and the actual sandbox code is already live on GitHub. I dug into the source: binary-scoped network enforcement, a live policy proxy that lets you change security rules without rebuilding the image. Here's how to run it on Jetson AGX Thor. 🦞
Agentic AI is moving fast and two of the most exciting frontiers are healthcare and finance. On March 21st, we're bringing together surgeons, dental AI builders, edge computing practitioners, and fintech innovators in a single invite-only session. Come curious. Leave with answers.
💡"The model is so capable, we use it to maintain the very repository that tracks its own ecosystem." I maintain awesome-nvidia-nemotron ~ a curated list of everything in the NVIDIA Nemotron ecosystem: models, papers, tutorials, tools, companies, videos, and more. Keeping it fresh is a full-time job by itself.
Your Docker Agent agents describe instead of execute? Add todo to every agent's toolset. This one change made 5 GPT-4o agents build a weather dashboard - real code, real tests, real Docker image without a single line written by a human.
Ghost SDLC is software delivered without a human accountability chain. Agents produce, metrics look great, PRs get merged, dashboards stay green. But when something breaks at 2am, the answer to "who owns this?" is a ghost.
Docker Sandboxes have moved from containers to microVMs & this changes everything about how AI coding agents interact with your system. In this hands-on guide, I break down the architecture differences, test the isolation boundaries, & help you decide when to use containers vs microVMs.
Ask ChatGPT why your container crashed, and you'll get a textbook answer. Ask Gordon, and it'll dig into your logs, find the culprit, and propose a fix. Here are 5 key takeaways from Docker's latest Gordon update in Desktop 4.61.
Every engineering team is asking the same question: Will AI replace developers? The answer is no but it will redefine what a developer does.
NanoClaw is the lightweight AI agent you can actually understand. Here's how to run it without betting your MacBook on it behaving perfectly.
AI
OpenClaw is powerful - it can read files, run commands, and automate tasks. That's exactly why you want it containerized. Learn how to run OpenClaw safely with Docker Desktop, configure AI providers, connect messaging channels & manage your self-hosted AI assistant with confidence.
The era of "human in the loop" is ending - not because humans don't matter, but because AI is moving faster than humans can keep up. From OpenClaw's 200K GitHub stars to Docker's cagent, the agentic shift is already here. Here's what it means for you & your team.
Get Ready for the Agentic Shift ~ It's Already Here
Learn how to set up OpenClaw - the open-source AI assistant with 180K+ GitHub stars on NVIDIA Jetson Thor using Docker Model Runner for fully local, private LLM inference.
A full-day recap of the Collabnix "Cloud Native & AI Day" meetup at LeadSquared, Bengaluru ~ featuring a hands-on Docker cagent workshop, deep dives into MCP on Kubernetes, model serving strategies, and what it takes to move agentic AI from prototype to production