{"slug": "build-test-and-optimize-faster-arm-and-github-accelerate-agentic-ai-development", "title": "Build, test and optimize faster: Arm and GitHub accelerate agentic AI development", "summary": "Arm and GitHub have integrated GitHub Copilot CLI with native Arm compute so developers can run AI coding agents that edit, build, test and debug code directly on Arm architecture without x86-to-Arm emulation. The workflow pairs Copilot CLI with GitHub pull requests and CI on Arm64 runners for automated native builds and tests, and includes Remote Control for steering sessions from another device. Arm says the setup lets developers measure CPU utilization, execution time, latency, memory behavior and throughput on Arm hardware and catch architecture-specific dependency and runtime issues earlier.", "body_md": "# Build, test and optimize faster: Arm and GitHub accelerate agentic AI development\n\nDevelopers can use AI coding agents to edit code, build, test, and debug within one native Arm development environment. Keeping these tasks on the target architecture can give developers earlier feedback on dependencies, test results, and runtime behavior as they make changes.\n\nTogether, [GitHub Copilot](https://learn.arm.com/install-guides/github-copilot/), native Arm compute, and GitHub’s review and validation tools bring AI-assisted development, native execution, and automated validation into a connected developer workflow.  \n\n- **Work from your preferred device:** Run GitHub Copilot CLI, a command-line coding agent, on organization-controlled Arm compute. Remote Control lets developers steer sessions from another device while development commands continue executing natively on Arm.\n\n- **Develop and iterate natively:** Use GitHub Copilot CLI to edit code, build, test, and investigate failures directly within that Arm-native environment, reducing the need to switch between architectures during development.\n\n- **Review and validate changes:** Submit pull requests through GitHub for code review, while CI on Arm64 runners automates native builds and tests as part of automated validation.\n\nFor developers targeting Arm-based PCs, cloud infrastructure, and connected devices, this workflow helps identify architecture-specific issues earlier, reduce handoffs, iterate faster, and optimize using real performance data.\n\n## Why native Arm execution matters for AI coding agents\n\nDevelopers often work across different computing architectures. A team may write and compile code in an x86 environment, submit changes for review, and then test and validate the application on Arm later in development.\n\nThis approach can delay the discovery of architecture-specific issues and hide opportunities to optimize or enhance software for Arm. For example, software that builds successfully on x86 may encounter incompatible dependencies, architecture-specific assumptions, or differences in runtime behavior when executed on Arm, while also missing platform-specific capabilities and performance characteristics that could inform development.\n\nRunning GitHub Copilot CLI on native Arm compute allows development commands, builds, tests, and diagnostics to execute directly on Arm without x86-to-Arm emulation. This brings three clear benefits:  \n\n1. Optimize applications using real Arm measurements; \n\n2. Identify architecture-specific issues earlier in the process; and\n\n3. Develop and iterate faster.\n\n### 1. Optimize applications using real Arm measurements\n\nNative Arm development allows developers to measure application behavior on Arm hardware, including CPU utilization, execution time, latency, memory behavior, and throughput. These insights help identify performance bottlenecks and guide changes. For independent software vendors (ISVs), this creates opportunities to take greater advantage of Arm platform capabilities and build differentiated products designed for Arm from the outset.\n\n### 2. Identify architecture-specific issues earlier in the process\n\nRunning builds and tests directly on Arm can expose issues with software dependencies, compiler settings, architecture-specific code, and runtime behavior before changes progress further through development. [GitHub Actions](https://newsroom.arm.com/blog/github-arm-integration) extends this approach through automated builds and tests on Arm64 runners for repeatable validation alongside the native development environment. This provides earlier visibility into architecture-specific issues, helping developers diagnose failures without additional emulation-related variables. \n\n### 3. Develop and iterate faster\n\nWith GitHub Copilot CLI running on organization-controlled native Arm compute, developers can use AI assistance to modify code, execute project commands, run tests, and investigate failures within the same native environment. Test results can then inform further changes, creating a continuous development and testing cycle without the need to switch between architectures.\n\nOnce changes are ready, developers can submit pull requests through GitHub, while CI on Arm64 runners supports automated build and test validation. This reduces the need to move between architectures during iteration and removes additional workflow handoffs. Meanwhile, developers remain responsible for reviewing agent-generated changes and validating their correctness.\n\n## How Arm, GitHub, and GitHub Copilot connect the agentic AI development workflow\n\nEach technology plays a distinct role in connecting agentic AI development with native execution:\n\n- Arm provides the compute architecture and native execution environment, allowing developers to build, run, test, and measure their applications directly.\n\n- GitHub provides source control, pull requests, code review, and automated validation, with GitHub Actions supporting Arm64 runners that execute native builds and tests as part of CI.\n\n- GitHub Copilot CLI provides AI-assisted development on native Arm compute, enabling developers to direct agents to make code changes, execute project commands, and investigate test failures in the target environment.\n\nConsider a developer updating a media application. The developer asks GitHub Copilot CLI to modify a dependency and run the project’s tests. Because the Copilot session runs on Arm compute, the commands execute natively on Arm. This helps expose architecture-specific dependency issues and test failures early in the development process.\n\nOnce the change is ready, the developer submits a GitHub pull request for review. A GitHub Actions workflow then performs automated validation on an Arm64 runner, providing a separate, repeatable testing stage.\n\nAfter review and successful validation, the application can be deployed to its intended Arm environment. Developers can then profile runtime behavior, evaluate performance, and use the measurements to guide further optimization.\n\nKeeping development tasks on organization-controlled Arm compute also lets teams apply their own security policies, access controls, and tooling.\n\n## Moving beyond compatibility to Arm-native optimization\n\nArm-native compute enables developers to work directly with the dependencies, runtime behavior, and hardware characteristics that influence their applications. GitHub and GitHub Copilot then help connect that foundation to established development, review, and testing processes.\n\nTogether, these capabilities create a repeatable development loop connecting AI-assisted coding, native builds, automated testing, and runtime measurement. Developers can use that loop for faster iteration, smoother debugging with fewer environment-related variables, and platform measurements that steer development and optimization.\n\nFor developers and ISVs, the opportunity extends beyond confirming whether software works on Arm. It is about using native feedback and real measurements to build better software that takes full advantage of the Arm compute platform’s capabilities from the outset.\n\n#### Run your CI/CD workflows natively on Arm\n\nExplore Arm resources for running CI/CD workflows on Arm and building and testing with GitHub Actions runners.\n\nAny re-use permitted for informational and non-commercial or personal use only.", "url": "https://wpnews.pro/news/build-test-and-optimize-faster-arm-and-github-accelerate-agentic-ai-development", "canonical_source": "https://newsroom.arm.com/blog/arm-github-accelerate-agentic-ai-development", "published_at": "2026-10-29 16:02:31+00:00", "updated_at": "2026-10-29 16:21:05.342512+00:00", "lang": "en", "topics": ["ai-agents", "ai-tools", "developer-tools", "ai-infrastructure"], "entities": ["Arm", "GitHub", "GitHub Copilot CLI", "GitHub Actions", "Arm64", "GitHub Copilot"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/build-test-and-optimize-faster-arm-and-github-accelerate-agentic-ai-development", "markdown": "https://wpnews.pro/news/build-test-and-optimize-faster-arm-and-github-accelerate-agentic-ai-development.md", "text": "https://wpnews.pro/news/build-test-and-optimize-faster-arm-and-github-accelerate-agentic-ai-development.txt", "jsonld": "https://wpnews.pro/news/build-test-and-optimize-faster-arm-and-github-accelerate-agentic-ai-development.jsonld"}}