During March 2026, Djaden Kus focused on performance optimization within the prometheus/prometheus repository, delivering a feature that inlined the kahansum.Inc function in the PromQL floating-point summation path. By replacing function calls with inlined logic, Djaden reduced overhead and improved query throughput, particularly for large dashboards. The approach maintained numerical accuracy by explicitly handling rounding behavior, ensuring correctness in summation operations. Working primarily in Go and applying knowledge of numerical methods and performance optimization, Djaden contributed to the perf(PromQL) initiative, demonstrating a thoughtful balance between computational efficiency and the precision required for robust time-series data analysis.