Alan Martin focused on maintenance and stability improvements for the PennyLaneAI/qml repository, addressing dependency management challenges using Python and Poetry. During the month, he updated the poetry.lock file to align versions across multiple packages, including anyio, cryptography, and keras, thereby reducing compatibility issues and improving the reliability of development and CI environments. This work did not introduce new user-facing features but targeted the underlying infrastructure, ensuring reproducible builds and smoother onboarding for contributors. By proactively managing dependencies, Alan enhanced the project’s long-term maintainability and mitigated risks associated with outdated or conflicting package versions in the codebase.