How to Automate Release Notes with AI

If you are still writing release notes by hand in 2025, you are wasting money.

The old way:

1. Scroll through 50 commits.
2. Try to remember what "fix stuff" meant.
3. Write a generic update.
4. Forget to mention the biggest feature.

The new way: Zero-Touch Automation.

Step 1: Semantic Commits

The foundation of automation is good data. You don't need to be perfect, but using Conventional Commits helps.

• feat: new login page -> Feature
• fix: crash on ios -> Bug Fix
• chore: update deps -> Hidden

Step 2: The AI Summarizer

Raw commit logs are boring. You need a summary.

Tools like Ketchup ingest your commit history and use a Large Language Model (like GPT-4 or Gemini) to rewrite them into human prose.

Before Ketchup:

fix: update auth.ts fix: token expiry

After Ketchup:

Improved Authentication: Fixed a critical bug where tokens would expire prematurely on iOS devices, ensuring users stay logged in.

Step 3: Distribution

Don't just bury the notes in a CHANGELOG.md.

1. GitHub Releases: Auto-post to the Releases tab.
2. Slack/Discord: Blast the update to your team channel.
3. Social Media: Use Ketchup to turn the update into a Tweet or LinkedIn post.

Conclusion

Automating documentation isn't lazy. It's accurate. Machines don't forget to list a bug fix. Humans do.