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Dummy Changelog Entry Generator

Writing realistic CHANGELOG entries is harder than it looks — vocabulary needs to match the project type, version numbers need to flow sensibly, and section structure must follow Keep a Changelog convention for parsers and documentation pipelines to handle it correctly. The `style` input shapes vocabulary. 'web app' generates entries about dark mode, OAuth login, and bundler migrations. 'cli tool' generates entries about flags (--output-format, --dry-run) and renamed config options. 'api library' generates entries about batch endpoints, rate limit headers, and field deprecations. 'mobile app' generates entries about biometric unlock, OS version minimums, and background sync. The `versions` input controls how many release blocks appear (1 to 10).

Read the complete guide — 4 min read

How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Set the Number of Versions slider to how many release blocks you need (3 is enough for most demos).
  2. Choose the Project Type that matches your context: web app, CLI tool, API library, or mobile app.
  3. Click Generate to produce a full CHANGELOG in Keep a Changelog format with dated version headings.
  4. Copy the output and paste it into your fixture file, documentation site, or README preview to verify rendering.

Use Cases

  • Stress-testing a changelog parser script with multi-version edge cases in Jest fixtures
  • Populating a documentation site demo before a product's first real release ships
  • Building CI pipeline fixtures that require realistic historical version metadata
  • Teaching open-source contribution practices with real-looking Added, Fixed, and Deprecated entries
  • Prototyping a changelog-driven release timeline UI component in Storybook before real data exists

Tips

  • Generate the same version count twice with different project types, then merge sections to create a realistic monorepo-style changelog.
  • For parser testing, generate 5 versions and manually remove one section heading — your parser should handle sparse version blocks without crashing.
  • CLI tool output tends to have the most varied Fixed entries; use that style when you need diverse bug-fix copy for documentation templates.
  • Paste the output into a Markdown previewer like GitHub's or readme.so before embedding it in docs — column alignment and heading levels render differently across tools.
  • If you need an [Unreleased] block, copy the topmost version block from the output, remove the date, and change the version number to [Unreleased] — the subsection structure is identical.
  • Mobile app style generates OS-version compatibility notes and permission change entries, making it the best choice for testing changelogs that include non-code release metadata.

FAQ

how do I test a changelog parser with fake data

Generate 5 or more versions, copy the raw output, and drop it into your parser as a fixture file. The output includes varied section combinations — some versions have Changed and Deprecated sections, others don't — which surfaces off-by-one errors and missing-section handling bugs. Running several batches gives you varied entry counts per section, which is usually where parsing logic breaks.

is keep a changelog format the same as conventional commits

They are related but different. Keep a Changelog is a formatting convention for CHANGELOG.md files — it defines sections like Added, Fixed, and Deprecated under dated version headings. Conventional Commits is a commit message spec that tools like git-cliff or release-please use to auto-generate those files. This generator produces Keep a Changelog output directly, without needing any commit history.

which project type should I pick for a rest api backend

Choose 'api library'. That style generates entries referencing endpoints, rate limit headers, authentication header changes, OpenAPI spec availability, cursor pagination, and field deprecation notices — vocabulary that fits a REST or GraphQL backend. The 'web app' style focuses on UI components and user-facing flows, which read as out of place in API documentation.

what changelog sections appear in the generated output

Added and Fixed sections appear in every version. Changed sections appear in roughly 60% of versions. Deprecated sections appear in roughly 30% of versions. Breaking Changes are generated for roughly 25% of non-first versions and trigger a MAJOR version bump when they appear. This variability is intentional — it produces changelog data that exercises the same structural variation you would find in a real project's history.

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