Case Study: AMD accelerates development cycles with GitHub Copilot

AMD compresses development cycles with GitHub Copilot, resolving 70% of vulnerability classes automatically

AMD, a major semiconductor manufacturer, faced the challenge of accelerating hardware and software development to meet explosive demand for high-performance computing. Their engineering teams were fragmented across legacy tools, creating bottlenecks in verification and feature cycles. To address this, AMD consolidated over 20,000 engineers onto the GitHub platform, specifically adopting GitHub Enterprise and GitHub Copilot.

The solution from GitHub involved unifying all development on GitHub Enterprise and deploying GitHub Copilot to create autonomous AI agents for tasks like automated code triage and security fixes. This resulted in compressing feature development cycles from weeks to days, automatically triaging over 1 million nightly simulations, and achieving over 50% acceptance rates for AI-generated code in some projects. Additionally, GitHub Copilot Autofix now resolves approximately 70% of vulnerability classes automatically, driving exponential productivity gains for AMD.

AMD