Docker Isn’t Just About Containers Anymore
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Docker has expanded well beyond container management into AI infrastructure tooling. Three key features define this shift: Docker Model Runner enables local LLM execution via an OpenAI-compatible API; MCP Gateway centralizes configuration and credential management for AI tools using the Model Context Protocol; and Docker Sandboxes run AI coding agents in isolated microVMs with their own kernel, preventing agents from damaging the host environment. Docker's strategy mirrors its original container playbook — becoming the neutral infrastructure layer between developers and complexity, this time for AI agent isolation and orchestration. Teams using AI coding agents should prioritize the isolation question immediately, evaluate MCP Gateway for multi-tool setups, and treat Model Runner as a prototyping tool rather than a production solution.