Release Notes Tracking

Benched.ai Editorial Team

Release-notes tracking records and disseminates changes across successive versions of an AI model or API so stakeholders understand new capabilities, deprecations, and bug fixes.

Standard Release Note Fields

Field	Purpose	Example
Version	Semantic or date-based ID	2025-06-15
Change type	Added, Changed, Fixed, Deprecated	Added JSON mode
Impact level	user-facing, internal	user-facing
Migration action	Steps required by clients	Update parsing code

Workflow

Collect commit messages and PR titles into draft notes.
Categorize changes using conventional-change labels.
Review with QA and docs teams.
Publish to changelog and RSS feed.

Design Trade-offs

Fine-grained notes improve transparency but increase authoring overhead.
Aggregated quarterly notes are easier to consume yet delay awareness of breaking changes.

Current Trends (2025)

Machine-generated release notes drafted from Git diff summaries, edited by humans.
Changelog-as-code stored in repo to enable automated version bump gates¹.

Implementation Tips

Include model evaluation deltas (accuracy, latency) per version.
Provide upgrade deadline for deprecated endpoints.
Offer diff examples of output formatting when it changes.

GitHub Changelog Automation RFC, 2025. ↩