AI Changelog Generator
Changelogs That Users Actually Read
Most changelogs are either too technical for end users or too vague for developers. Our generator produces changelogs that strike the right balance — clear enough for non-technical stakeholders to understand what changed, and specific enough for developers to know what they need to update. The result is documentation that serves its actual purpose.
Follow the Keep a Changelog Standard Automatically
The Keep a Changelog format has become the community standard for open-source projects. Our generator automatically categorizes your changes into the correct sections — Added, Changed, Deprecated, Removed, Fixed, and Security — and formats them consistently. No more manually sorting changes or debating which category a change belongs in.
Frequently Asked Questions
What changelog formats are supported?
We support four popular formats: Keep a Changelog (the community standard with categorized sections like Added, Changed, Fixed), Conventional Commits style (feat, fix, chore prefixes), GitHub Release Notes format optimized for GitHub releases, and a simple bullet list for internal use. Each format follows its respective conventions and is ready to paste into your project.
How should I categorize my changes?
Just describe your changes in plain English and the AI categorizes them automatically. New features go under Added, modified behavior under Changed, bug fixes under Fixed, deprecated features under Deprecated, removed features under Removed, and security patches under Security. The AI understands the intent behind each change and places it in the correct section.
Can I target different audiences with the same changelog?
Yes, select your target audience to adjust the writing style. Developer-focused changelogs include technical details like API changes, breaking changes, and migration steps. End-user changelogs describe changes in terms of features and benefits without implementation details. The Both option includes user-facing descriptions with technical notes for developers.
How do I handle breaking changes in the changelog?
Mention breaking changes in your description and the AI will prominently flag them in the output. For Keep a Changelog format, breaking changes get a dedicated section or prominent callout. The entry will include what changed, why it was necessary, and clear migration instructions so users know exactly what they need to update.
Should I use commit messages or feature descriptions as input?
Feature descriptions produce better changelogs because they focus on user impact rather than implementation details. Commit messages like 'fix null check in auth middleware' are too technical for most audiences. Instead, describe changes as 'Fixed authentication timeout that caused users to be logged out unexpectedly.' Save commit-level detail for internal notes.
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