In April 2025, LJH stabilized the Windows Docker build for the optimize_codegen service in the ML-TANGO/TANGO repository by addressing a dependency issue that previously blocked Windows builds. By ensuring Cython was installed during the Docker build process, LJH eliminated a platform-specific failure and brought the Windows environment in line with other supported platforms. This work involved editing the Dockerfile and leveraging DevOps practices to automate dependency management, using Dockerfile syntax and pip3 for package installation. The fix improved cross-platform build reliability, reduced manual intervention, and enhanced developer productivity by streamlining the continuous integration pipeline for the optimize_codegen workflow.