Announcing Operational AI with Docker Book by Ajeet Singh Raina & Harsh Manvar
Operational AI with Docker Book is live today. 🎉
310 People, 7 Hours, One Big Hands-On Day with NVIDIA Nemotron 3 Super in Bengaluru
A behind-the-scenes recap of co-organizing the Nemotron 3 Super Meetup at Amadeus Labs, Bengaluru.
Which AI Coding Tools Are Developers Actually Using at Work in 2026?
If you spend any amount of time on LinkedIn or X, you already know the feed is saturated with AI coding agents ~ Claude Code, Codex, Gemini CLI, Junie, and a new launch every other week. The hype is loud. The actual adoption inside real engineering teams is harder to read.
I Tried to Run NVIDIA NemoClaw Inside Docker Sandboxes. It Got Seven Layers Deep Before Hitting a Wall.
I tried running NVIDIA NemoClaw inside Docker Sandboxes to see what happens when you stack two isolation systems. It got seven layers deep before hitting a wall at /dev/kmsg
Running Open-Source Models Inside Docker Sandboxes: Agent in a microVM, Model on the Host, Zero Cloud Dependency
I've been deep in Docker sbx + Docker Model Runner for the past week. The combination is quietly the first real open-source implementation of "agent in a microVM, model on the host, zero cloud." Full walkthrough ~ 8 steps, every command tested on my Mac.
How Autonomous AI Agents Become Secure by Design With Docker Sandboxes
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.
Is OpenClaw Safe to Use? A Security Deep-Dive (2026)
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.
Stop guessing. Start running. llmfit picks the right LLM for your hardware.
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.
Stop Running Agents in Containers. Run Them in MicroVMs with Docker sbx
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.
NVIDIA DGX Spark vs Jetson AGX Thor: Which one should you buy?
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 dhi Cheatsheet: Every Command You Need to Manage Docker Hardened Images
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
How I Turned My NVIDIA NemoClaw Exploration Into a Docker Labspace
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.