In April 2025, Beilei Huang developed a Copilot Instruction Framework for the Azure/telescope repository, focusing on enhancing AI-assisted workflows within Kubernetes benchmarking projects. By integrating AI guidance and cloud computing concepts, Beilei documented ADO pipelines, scenarios, and modules in Markdown to provide AI agents with explicit context about project structure and objectives. This approach aimed to streamline onboarding and ensure consistent automated testing by linking agent instructions directly to Kubernetes performance evaluation workflows. The work demonstrated depth in both documentation and AI integration, laying a foundation for more reliable agent interactions and improved understanding of complex cloud-native development environments.