About this Learning Path

Who is this for?

This is an advanced topic for developers and DevOps engineers who want to automate the migration of containerized applications from x86 to Arm64 using AI-powered tools in the Docker MCP Toolkit.

What will you learn?

Upon completion of this Learning Path, you will be able to:

  • Describe how the Model Context Protocol (MCP) enables AI coding assistants to invoke structured migration tools through the Arm MCP server
  • Explain how the Docker MCP Toolkit connects AI coding assistants to Arm MCP server
  • Install and configure the Docker MCP Toolkit with the Arm MCP Server, GitHub MCP Server, and Sequential Thinking MCP Server
  • Connect the MCP Gateway to VS Code with GitHub Copilot
  • Use AI agents to scan codebases for x86-specific dependencies and intrinsics
  • Automate the conversion of x86 AVX2 intrinsics to Arm NEON equivalents using the Arm MCP Server knowledge base
  • Create and manage pull requests with migrated code using the GitHub MCP Server

Prerequisites

Before starting, you will need the following:

  • Docker Desktop 4.59 or later with MCP Toolkit enabled
  • VS Code with the GitHub Copilot extension
  • A GitHub account with a personal access token
  • A machine with at least 8 GB RAM (16 GB recommended)
  • Basic familiarity with Docker, C++, and SIMD intrinsics concepts
Next