Build, test and optimize faster: Arm and GitHub accelerate agentic AI development

Arm and GitHub are integrating GitHub Copilot with native Arm development environments to enable developers to build, test, and debug code directly on Arm hardware. This approach allows teams to receive immediate feedback on dependencies, runtime behavior, and performance metrics, reducing delays caused by architecture switching. By eliminating x86-to-Arm emulation, developers can identify architecture-specific issues earlier in the process, such as incompatible dependencies or platform-specific performance characteristics.

GitHub Copilot CLI running on native Arm compute enables developers to execute AI-assisted coding commands, tests, and diagnostics within the same environment. This native execution exposes hidden issues like compiler settings or runtime behavior before code progresses further. GitHub Actions complements this with automated builds and tests on Arm64 runners, providing repeatable validation and reducing the need for additional emulation or environment handoffs during development.

The integrated workflow connects AI-assisted coding, native builds, automated testing, and runtime profiling into a continuous loop. Developers can iterate faster, debug with fewer variables, and use real performance data to guide optimizations. This approach is particularly valuable for independent software vendors aiming to leverage Arm platform capabilities from the outset.

The collaboration also supports organization-controlled Arm compute, allowing teams to enforce their own security policies and tooling while benefiting from GitHub’s review and validation tools. This setup ensures that development, testing, and deployment align with Arm’s compute platform, enabling better software optimization and platform-specific enhancements.