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AI-assisted

These FAQs were drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.

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How do I know if a Docker base image is compatible with Arm?
Ask the Arm MCP Server in natural language to check the image’s supported architectures. Expect a response indicating whether arm64 is included; if it is missing, select an Arm-compatible image before proceeding.
What confirms that my AI assistant is connected to the Arm MCP Server?
Prompts about Arm migration tasks return structured, tool-backed results instead of generic text. For example, image compatibility queries or code analysis requests yield specific findings sourced through MCP.
How should I handle x86 SIMD intrinsics during migration?
Use the Arm Cloud Migration Agent to locate SSE/AVX usage and propose Neon or SVE equivalents. Review the suggested refactoring, update the code, and compile to verify that the changes build cleanly.
What should I check before running the migrated app on an Arm system?
Confirm the container base image supports arm64 and that dependencies are available for Arm. Rebuild the container and ensure the application starts without x86-specific instruction errors.
How can I reuse this workflow in other AI tools?
Create persistent instructions (such as steering documents or prompt files) that direct the agent to use the Arm MCP Server and follow the same migration steps. Mirror the Copilot setup so the agent can perform checks, refactoring, and validation consistently.

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