Janise Kim enhanced the DataDog/documentation repository by developing targeted documentation for LLM observability, focusing on prompt injection configurations and attack types. She used Markdown to structure new sections that clarify security concepts, including simple instruction, code, context switching, and jailbreak attacks, thereby supporting safer evaluation workflows. Her work emphasized documentation best practices, updating links to third-party security resources to improve risk awareness and onboarding for security-conscious users. Although the scope was limited to a single feature over one month, Janise’s contribution provided clear, actionable guidance and improved traceability for changes, reflecting a focused and well-executed approach to technical documentation.