During May 2025, contributed two targeted features to the JohnSnowLabs/spark-nlp-workshop and johnsnowlabs repositories, focusing on accelerating Terminology API adoption and streamlining developer onboarding. Developed a Jupyter Notebook in Python that demonstrates API integration, including code-to-code mapping, term-to-code search, and advanced filtering with spell-check capabilities. Enhanced documentation by linking this usage notebook within both the on-premise deployment guide and main terminology server docs, improving integration clarity for users. Emphasized data exploration and clear documentation practices, aligning examples across repositories to ensure consistent API usage patterns. The work reduced customer integration time and improved discoverability of key onboarding resources.