During March 2025, Hao Ruan enhanced the opea-project/GenAIInfra repository by implementing targeted CPU resource configuration for the AgentQnA deployment. He introduced a dedicated cpu-values.yaml file, leveraging Kubernetes and YAML to enable precise control over CPU allocations within the deployment pipeline. This approach allowed for improved scalability, reliability, and cost efficiency by supporting more granular resource management and capacity planning. Hao’s work demonstrated effective DevOps practices, including robust configuration management and clear change traceability through Git. While the scope was focused on a single feature, the solution addressed a core infrastructure need and contributed to more predictable workload performance.