Developed a standardized development environment setup for the microsoft/AI-For-Beginners repository, focusing on streamlining onboarding and ensuring reproducible workflows for data science and machine learning projects. Leveraged Python and YAML to create and configure environment files, including devcontainer.json and Dockerfile, enabling consistent dependency management across different machines and editors. This work reduced environment-related issues and accelerated the time-to-first-commit for new contributors. The approach emphasized environment configuration best practices, supporting a smoother onboarding process and facilitating collaboration. No bug fixes were recorded during this period, with efforts concentrated on delivering a robust, containerized setup for data science development tasks.