Kate established foundational IA and AI scaffolding within the dreadnode/sdk repository, focusing on modular architecture to accelerate future AI feature development. She implemented a starter directory and file structure using Python, emphasizing maintainability and forward-compatible design for AI integrations. Her approach centered on creating a standardized project structure, which streamlines collaboration and reduces time-to-market for new AI capabilities. By prioritizing disciplined version control and SDK development best practices, Kate laid the groundwork for scalable AI components. Although the work was primarily architectural and did not involve bug fixes, it addressed long-term scalability and maintainability for the SDK’s evolving AI features.