Chihai worked on performance optimization for the facebook/fbthrift repository, focusing on the thrift binary protocol’s skip algorithm. He replaced the recursive skip path with a loop-based approach for fixed-size types in lists, sets, and maps, using Rust and system programming techniques. This change accelerated processing of targeted data structures, achieving up to 28x faster throughput as validated by benchmarking, though it introduced a minor regression for simpler cases. The refactoring improved code maintainability and robustness, demonstrating depth in performance tuning and safe code evolution. Chihai’s work addressed both efficiency and long-term maintainability in a complex system programming context.