Over a two-month period, contributed to the snyk/code-client-go and snyk/cli repositories by building features that enhanced batch processing and improved CLI usability for AI-BOM workflows. Developed a method in Go to construct batches directly from raw content, reducing pre-processing steps and increasing flexibility, while strengthening error handling and test coverage. In snyk/cli, introduced and stabilized the 'aibom test' command, simplifying usage by deprecating the experimental flag and aligning documentation across snyk/user-docs. Leveraged Go, TypeScript, and Markdown to deliver maintainable backend features, comprehensive documentation, and robust testing, supporting scalable security scanning and clearer onboarding for developers.