In March 2025, PorshJob focused on improving the stability of the turbo-llm/turbo-alignment repository by addressing a critical bug in chat dialogue trimming. Using Python and leveraging skills in algorithm optimization and data processing, PorshJob refactored the trimming logic to recalculate cumulative token lengths and determine a valid left bound, ensuring that chat responses consistently adhered to maximum token constraints. This work reduced the risk of token overflow in production and enhanced the reliability of chat interactions. Although no new features were added during this period, the depth of the bug fix demonstrated careful attention to correctness and maintainability.