Aivaras Atkocaitis developed a Kubernetes Percentage-Based Resource Allocation feature for the castai/k8s-agent repository, enabling users to define resource requests and limits as percentages rather than fixed values. This work involved updating core data structures to support percentage-based allocation, requiring a careful approach to resource management logic and integration with existing Kubernetes scheduling mechanisms. Using Go and leveraging backend development skills, Aivaras focused on improving resource utilization and deployment predictability in heterogeneous clusters. The feature was delivered as a focused commit, reflecting disciplined, feature-driven development and a clear understanding of Kubernetes resource management concepts, though no major bug fixes were addressed.