Alejandro focused on release management for the Kavia-ai/universalinit repository, delivering a version bump from 0.1.23 to 0.1.24 in the pyproject.toml file. This work centered on improving packaging hygiene and aligning metadata with semantic versioning standards, which supports reproducible builds and smoother downstream deployments. Using version control systems and TOML, Alejandro ensured that the release process was structured and reliable, laying the foundation for future feature development. Although no user-facing features or bug fixes were introduced during this period, the attention to release readiness reduced deployment risks and improved the overall stability of the project’s CI/CD pipeline.