Worked on stabilizing tutorial execution in the PennyLaneAI/qml repository by managing dependency constraints for the Autoray library. Addressed a runtime failure in the tutorial_neutral_atoms module by first removing and then reintroducing Autoray with a specific version constraint, ensuring compatibility and consistent results across different environments. Focused on dependency management using Python, prioritizing reproducibility and reliability over new feature development. Improved continuous integration workflows and onboarding processes by documenting the constraint strategy and rationale behind each change. This work laid the foundation for future feature development by reducing dependency drift and strengthening the codebase’s stability for both users and contributors.