Worked on modernizing the CDN infrastructure for the fal-ai/fal repository by completing a full migration from CDN v2 to v3. The approach emphasized backward compatibility, using aliases and re-exports to ensure legacy repositories continued to function while deprecation warnings guided users through the transition. Leveraged Python for backend and API development, integrating environment-driven configuration with FAL_CDN_HOST to streamline deployment. Comprehensive tests were added to validate the migration and prevent regressions, focusing on reliability and maintainability. This work reduced technical debt, removed outdated code paths, and established a foundation for future enhancements to the CDN system.