Developed profiling support for the denoland/typescript-go repository by implementing a new feature that enables CPU and memory performance analysis within the Language Server Protocol. The work introduced a -pprofDir option, allowing users to specify a directory for storing profiling data, and updated the LSP command-line interface to support profiling-related arguments. This required designing a new profiling session management flow to streamline performance optimization workflows. The feature was built using Go, with a focus on backend development and performance profiling techniques. The changes improved traceability and usability for developers seeking to analyze and optimize the performance of their LSP implementations.