neb-ai-server-upgrades

Upgrading an AI server to a new upstream release is automated by analyzing release notes, aligning skills and plugins, updating the Dockerfile base image tag, and generating a pull request for review.

Automated release notes analysis works by parsing new upstream release notes to identify required changes, then calculating skill diffs and validating plugins to ensure the server stack aligns with the latest features and governance requirements.

The best way to rebranch skills and pin Docker base images is through an automated upgrade workflow that rebrands nebcore-branded skills and updates the base Dockerfile tag to a pinned upstream release version.

Yes, you can automate pull request creation for Dockerfile and plugin updates; the upgrade workflow applies changes to skills, Dockerfiles, and plugins, then generates a PR containing the release documentation and changelog.

Yes, this upgrade automation handles governance prompts and plugin validation by ensuring all applied upgrades satisfy governance requirements for pinned upstream tags, plugin validation, and changelog documentation.

You need to pin upstream tags when applying release-driven upgrades or governance prompts to your AI server, ensuring the Dockerfile base image and plugins are locked to a specific upstream release version for consistency.