During December 2025, Lyna Mohan focused on enhancing the reliability of timestamp-based data retrieval in the localstack/moto repository. She addressed a nuanced edge case in the Kinesis emulation, specifically refining the AT_TIMESTAMP shard iterator logic to ensure correct record selection when the provided timestamp matches the creation time of the first record. This targeted bug fix, implemented in Python and leveraging her expertise in AWS services and backend development, improved the accuracy and stability of Kinesis emulation for users. Her work contributed to more predictable test environments and reduced inconsistencies, reflecting a thoughtful approach to backend reliability and correctness.