Grounded in the work shipped
Drafts are based on relevant commits and code changes, so the release story starts from source activity rather than memory or scattered internal notes.
AI release notes generator
ReleaseView analyzes authorized GitHub activity to prepare a structured release draft. Your team reviews the result, refines the language, and approves what gets published.
Drafts are based on relevant commits and code changes, so the release story starts from source activity rather than memory or scattered internal notes.
Turn one approved release into a clear update for customers and end users, while keeping the original technical release note available to your team.
By default, your team reviews and approves each release before publication. Optional automation can approve tag-generated drafts, publish approved notes, and email your Audience list.
Example workflow
Imagine a release that improves search speed and fixes a CSV export error. The GitHub history explains the implementation, but customers need to know what changed for them.
ReleaseView gathers the commits and code changes associated with the version.
Your team checks the AI summary against the source and edits any wording that needs more context.
Customers see faster search and a reliable export in one clear Audience update, with the original release note still available to your team.
ReleaseView uses the GitHub commits and code changes associated with the release. Owners can inspect the source commits that informed the draft.
Yes. You can edit the title, summary, sections, and individual items, or ask AI to adjust the tone, length, or level of technical detail.
By default, every generated note needs review and approval. You can separately enable automatic approval for tag-generated drafts and automatic publication for approved notes.