Worked on stabilizing and modernizing the development environment for the langchain-ai/langchain-azure repository by upgrading the core stack to Python 3.12 and refining Docker-based workflows. Focused on aligning the devcontainer and Dockerfile configurations, resolving environment inconsistencies that previously caused build and CI flakiness. Addressed dependency management by updating the Poetry installation process, which reduced install times and improved reliability for both local and continuous integration builds. This effort resulted in a more reproducible and onboarding-friendly setup, enabling faster iteration for future features. The work leveraged DevOps practices, Docker containerization, and Python to enhance the overall developer experience and workflow stability.