Generate Release Notes from Git History on Mac

Q: Can it write both customer-facing and internal release notes?

Yes. Say who the notes are for. Customer-facing notes should hide implementation detail and emphasize outcomes. Internal notes can keep more engineering context and rollout detail.

Q: Does it need clean commit messages to work well?

Clean commits help, but they are not required. Chapeta can inspect diffs and surrounding context when the history is noisy. The better your commit hygiene, the less guesswork the workflow needs.

Q: Can it update an existing CHANGELOG.md file?

Yes. Ask it to draft the new section first, then append or patch the existing changelog using File Write or File Edit. Review the output before saving, especially if your team follows a strict changelog format.

Shipping is easy compared to explaining what shipped.

3 steps 3 tools 20-40 minutes per release

Download Chapeta

The Problem

Shipping is easy compared to explaining what shipped. You have 18 commits across three contributors, plus a couple of fixes merged late. The raw Git history contains the truth, but it is not readable release communication. Stakeholders do not want `refactor(api): normalize retry policy`; they want to know that report exports are now faster and the failed-payment retry bug is fixed. Turning commit noise into release notes is the kind of work that matters and still feels repetitive every single time.

How Chapeta Handles This

Chapeta reads the real Git range, inspects the commit messages and diffs when needed, and rewrites the changes into a cleaner release summary. You can ask for customer-facing notes, internal release notes, a changelog grouped by type, or a short launch summary for Slack or email. If you want, Chapeta can write the result directly to a markdown file so the workflow ends with something your team can ship, not just text in a chat window.

How to Generate Release Notes

3 steps to get it done

1

Choose the release range

Tell Chapeta what to compare: a tag range, the last 20 commits, `main..release`, or whatever matches your release process. The better the boundary, the cleaner the summary.
2

Specify the audience and format

Ask for customer-facing notes, internal engineering notes, or a Keep a Changelog style entry. You can also ask it to group by features, fixes, improvements, and known issues.
3

Review and save the draft

Chapeta returns the notes and can write them to a markdown file or append them to a changelog. Review the phrasing, cut anything too internal, and publish.

Example

You type

Summarize changes from v1.8.0..HEAD in this repo into customer-facing release notes. Group by New, Improved, Fixed, and save the markdown to ~/Desktop/release-notes-v1.9.0.md.

Chapeta returns

Created: ~/Desktop/release-notes-v1.9.0.md

# Chapeta 1.9.0

## New
- Added workflow pages for task-based discovery across docs, coding, and automation use cases
- Introduced richer skill cards with clearer tool and use-case descriptions

## Improved
- Workflow pages now link to deeper guides, tools, and skills for better navigation
- Workflow hub ordering is more consistent and easier to browse by job type

## Fixed
- Shortened overlong SEO metadata on workflow pages that risked SERP truncation
- Improved workflow-to-tool matching so the Tools Used section reflects the actual workflow tool set

Without Chapeta

Run `git log` and scroll. Read each commit subject. Open a few diffs to remember what the terse message really means. Rewrite the changes in plain English. Group them by impact. Remove internal jargon. Copy the result into a changelog file. Realistically, you do this with one eye on the code and one eye on a blank markdown document.

Time saved 20-40 minutes per release

Tools Used

Bash Terminal System Executes bash commands directly on your Mac. Instead of copying AI-generated commands and pasting them into Terminal, the AI runs them for you and shows the output inline. It handles everything from simple one-liners to complex piped commands and scripts. File Read File Operations Reads the contents of any file on your Mac and makes it available to the AI model. Supports text files, code files, configuration files, CSVs, JSON, XML, logs, PDFs (page-by-page with offset and limit), and any other text-based format. The AI can then analyze, summarize, search, transform, or answer questions about the file content. File Write File Operations Creates new files or overwrites existing files on your Mac with AI-generated content. The AI can write code files, configuration files, documentation, scripts, data files, and any other text-based content directly to disk. No manual copy-paste needed.

Go Deeper

Jump into the related guide, tool, or skill when you need more depth.

FAQ

Can it write both customer-facing and internal release notes?

Does it need clean commit messages to work well?

Can it update an existing CHANGELOG.md file?

Generate Release Notes from Git History on Mac

The Problem

How Chapeta Handles This

How to Generate Release Notes

Choose the release range

Specify the audience and format

Review and save the draft

Example

Without Chapeta

Tools Used

Related Skills

Go Deeper

FAQ

Related Workflows

Try the Generate Release Notes workflow in Chapeta

Generate Release Notes from Git History on Mac

The Problem

How Chapeta Handles This

How to Generate Release Notes

Choose the release range

Specify the audience and format

Review and save the draft

Example

Without Chapeta

Tools Used

Related Skills

Go Deeper

AI Git Workflow: Commits, Diffs & More

Git Workflow Skill

File Write Tool

FAQ

Related Workflows

Analyze Log Files

Generate Git Commit Messages

Review a Pull Request

Try the Generate Release Notes workflow in Chapeta