Anna Zhdan worked on the JetBrains/koog repository, focusing on enhancing performance and user experience in Large Language Model interactions. She implemented a caching mechanism for LLMs using Kotlin, which increased throughput and reduced latency during conversations. To address memory management and improve usability, Anna refined session history handling by trimming trailing tool call messages, thereby minimizing clutter and lowering memory usage. Her work demonstrated a solid grasp of AI development and software architecture, delivering a targeted feature that addressed both efficiency and user interface concerns. Over the month, Anna contributed one feature, reflecting focused and technically sound engineering depth.