Contributed to Homebrew/homebrew-core by developing and documenting a new formula for Kagent, a Kubernetes-native AI agent framework. Focused on packaging improvements, the work included implementing installation and testing procedures to streamline onboarding and ensure reliability in CI pipelines. Leveraged skills in DevOps, Go, and Ruby to create install and test blocks, supporting automated validation and release hygiene. This addition expanded the Homebrew/core catalog, making Kubernetes-native AI tooling more accessible to developers. The approach emphasized maintainability and compatibility, addressing both user experience and continuous integration needs while demonstrating proficiency in Ruby-based Homebrew formula development and Kubernetes ecosystem integration.