Over a two-month period, contributed to both the vespa-engine/docker-image-dev and apache/airflow repositories by delivering targeted features focused on developer productivity and community engagement. Enhanced the Vespa development environment by installing the Vespa Language Support plugin, leveraging bash scripting and DevOps practices to improve language server capabilities and streamline plugin installation workflows. Later, strengthened cross-project collaboration by officially documenting Vespa.ai’s adoption of Airflow in the INTHEWILD.md file, supporting onboarding and ecosystem visibility. Work emphasized disciplined documentation using Markdown and demonstrated a methodical approach to integrating tooling and fostering open-source community connections without direct bug fixes during this timeframe.