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Welcome to the February edition of Docker Navigator. Missed an issue? Read past issues in our collection.
As AI agents move into everyday development workflows, teams are rethinking how they run code safely and securely. This edition looks at Docker Sandboxes and how strong isolation supports safe experimentation with AI coding agents, along with security updates focused on strengthening the foundations developers rely on. You’ll also find updates on running AI locally, deeper technical reads on compliance, migration, and production-ready workflows, plus registration details for upcoming in-person conferences and live technical webinars.
Docker Sandboxes: Run Claude Code and Other Coding Agents Unsupervised (but Safely)
Docker Sandboxes let teams run coding agents such as Claude Code, Gemini, and Codex in secure, microVM-isolated environments. This approach enables safe experimentation with AI agents without putting the rest of the system at risk. Explore the technical documentation or watch a recent episode of AI Guide to the Galaxy to learn why sandboxing AI agents matter and how this approach works in practice.
Security Is a Developer Experience Problem, Rooted in Our Foundations
Better security outcomes come from improving what developers start with, not adding more checks later. Secure, hardened images reduce noise, minimize risk, and allow teams to move faster while building on foundations that are safe by default.
Docker News
Introducing “Ship Happens” | A Docker Podcast about Building Software in the AI Era
Weekly conversations with top engineers and founders on building and shipping software in the AI era. Each episode focuses on real-world challenges, practical decision-making, and how teams apply AI in development beyond the hype.
Run Claude Code Locally with Docker Model Runner
Get Claude Code working with Docker Model Runner – free, on-device, and private. Your cloud bill stays at $0.
Clawdbot with Docker Model Runner, a Private Personal AI Assistant
Use Clawdbot + Docker Model Runner to run a private personal assistant on your hardware – fast setup, local data control, and predictable costs.
OpenCode with Docker Model Runner for Private AI Coding
Configure OpenCode to use Docker Model Runner for a private, cost-aware coding assistant. Run models locally via an OpenAI-compatible API with full control.
Dive Deep: Security, Scale, and Production Workflows
Explore where security and reliability break down in real systems, from hidden FIPS compliance gaps to running MCP servers and automating Arm migration at scale. For teams evaluating Docker Hardened Images (DHI), these deep dives also cover security validation and customization practices used to run hardened images in production.
How to Automate Arm Migration with Docker MCP Toolkit, VS Code, and GitHub Copilot
Use Docker MCP Toolkit with GitHub Copilot in VS Code to automate your x86 to ARM64 migration. The workflow scans code, updates intrinsics and Dockerfiles, and generates pull requests to speed up migration with less manual effort.
Using MCP Servers: From Quick Tools to Multi-Agent Systems
Run MCP servers without runtime pain using Docker’s MCP Toolkit, Catalog, Gateway, and cagent. This approach helps teams scale from single tools to coordinated multi-agent systems with less operational complexity.
Your Dependencies Don’t Care About Your FIPS Configuration
FIPS images alone won’t ensure compliance. Learn how prebuilt native dependencies can bypass crypto boundaries and why FIPS images alone aren’t enough when building, testing, and shipping compliant applications.
Making the Most of Your Docker Hardened Images Enterprise Trial
Docker Hardened Images (DHI) Enterprise trial users can dig into security verification best practices, including provenance, signatures, and SBOMs, and learn how to customize hardened base images without weakening the security baseline.
Around the Community
Connect with the Docker community to learn, ask questions, and stay up to date with what’s new in containerization. Explore the Docker Forum for active discussions and our Events page for what’s happening next. Here’s a recent thread from the forum:
- A user shared challenges when using host.docker.internal and the community discussed some learnings, namely about the limitations of host networking and some fallback strategies for container-to-host access.
On the Calendar
Meet our Product and Engineering teams at leading tech conferences, where they share expertise, explore Docker’s latest advancements, and collaborate with the global tech community to shape the future of innovation.
- NVIDIA GTC AI Conference 2026 — San Jose, CA, USA — March 16-19
Visit the Docker booth at NVIDIA GTC to see how we help teams ship GPU-powered AI safely with sandboxed agent execution and built-in governance. - MCP DevSummit — New York, NY, USA — April 2-3
Visit the Docker booth to see demos for MCP Catalog + Toolkit, run models locally with Docker Model Runner, and ship safer with Docker Hardened Images.
Can’t make it in person? Join upcoming Docker webinars live or on demand.
- Feb 19, 2026 | 11am ET: Running hardened images in Prod: beyond CVE counts
This webinar covers how Docker Hardened Images (DHI) provide a secure upstream, and how DHI Enterprise supports continuous patching, compliance, and customization. You’ll see real-world workflows for verification and running hardened images at scale. - Feb 26, 2026 | 12pm ET: How n8n uses Docker Hardened Images to secure critical links in its software supply chain
Join this webinar to see how n8n, a workflow automation platform for connecting apps and APIs, secures critical AI workflows with Docker Hardened Images (DHI). Learn how the same “one change, huge impact” approach can strengthen your own stack. - Explore Docker’s on-demand webinar library for sessions including Docker Hardened Images ELS launch, Building the Supply Chain for the Future series, and other talks on Docker’s latest tools and best practices.
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