The Hugging Face team describes how they automated weekly releases of the huggingface_hub Python library using a single GitHub Actions workflow. The pipeline handles version bumping, PyPI publishing via OIDC Trusted Publishing, downstream test branch creation, and AI-drafted release notes — all built with open-source tools and open-weights models. A key design pattern is a 'trust-but-verify' loop: a deterministic script extracts the ground-truth list of PRs in the release, the model drafts the changelog, then code validates completeness and re-prompts the agent to fix any missing or extra entries. Documentation diffs are fed as context to prevent hallucinated API examples. A human reviews and edits the draft before the final release ships. The full cost per release is ~$0.25. Release cadence improved from every 4–6 weeks to weekly, with better notes, earlier breakage detection, and shorter contributor feedback loops. The workflow is public and designed to be forked and adapted by other Python library maintainers.
