Dev

Dummy Changelog Entry Generator

A dummy changelog entry generator gives developers instant, realistic CHANGELOG files without writing a single line of placeholder text by hand. Built around the Keep a Changelog convention, this tool produces multi-version entries organized into the standard Added, Fixed, Changed, and Deprecated sections — exactly the structure that changelog parsers, documentation pipelines, and release automation tools expect. Every generated entry follows semantic versioning (MAJOR.MINOR.PATCH), so the output reads like a real project history rather than Lorem Ipsum noise. Project type matters more than most people realize when generating fake changelogs. A CLI tool changelog should mention flags, subcommands, and exit codes. A mobile app log should reference permissions, screen layouts, and OS compatibility. An API library log needs deprecation notices, endpoint changes, and version pinning notes. Selecting the matching style here ensures your generated entries use vocabulary that fits your actual context. The most common use is populating demo environments and documentation sites that need realistic data before a real product ships. But developers also use fake changelogs to stress-test parser scripts, validate rendering in README previewers, and build CI pipeline fixtures without waiting for actual release history to accumulate. If you are onboarding junior developers or running a workshop on open-source contribution practices, a few generated CHANGELOG entries make better teaching material than blank templates. Real-looking entries show exactly where each change type belongs and how release dates, version bumps, and deprecation notices interact across multiple versions.

How to Use

  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 changelog parser scripts with multi-version edge cases
  • •Populating documentation site demos before a product's first real release
  • •Generating CI pipeline fixtures that require historical version metadata
  • •Teaching junior developers where Added, Fixed, and Deprecated entries belong
  • •Previewing how a README changelog section renders on GitHub or npm
  • •Filling staging environment release notes so QA flows don't break on empty data
  • •Prototyping changelog-driven UI components like release timelines or diff viewers
  • •Creating sample data for semantic versioning workshops and onboarding exercises

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

What is the Keep a Changelog format?

Keep a Changelog is a community convention for writing CHANGELOG.md files. Each version gets its own heading with a date, followed by categorized subsections: Added (new features), Changed (modifications to existing behavior), Deprecated (soon-to-be-removed features), Removed, Fixed, and Security. The format is human-readable and pairs well with semantic versioning. See keepachangelog.com for the full specification.

What is semantic versioning and how does it show in a changelog?

Semantic versioning uses three numbers — MAJOR.MINOR.PATCH. MAJOR increments when you break backward compatibility, MINOR when you add features without breaking anything, and PATCH when you fix bugs. In a changelog, you can infer which number bumped by looking at the sections: a PATCH release typically contains only Fixed entries, while a MAJOR release includes breaking changes under Changed or Removed.

What goes in the Deprecated section of a changelog?

Deprecated lists features, APIs, flags, or methods that still work today but are scheduled for removal in a future MAJOR release. This gives users a window to migrate. A good Deprecated entry names the specific thing being deprecated, explains what to use instead, and ideally links to a migration guide. Skipping this section is a common cause of surprise breakage for downstream consumers.

Can I use this to generate a real changelog for my project?

This generator produces realistic but entirely fictional entries for testing and demo purposes. For real projects, tools like git-cliff, conventional-changelog, or release-please auto-generate changelogs from commit messages following the Conventional Commits specification. Use this generator to prototype the format or test your rendering stack before wiring up an automated pipeline.

How many versions should a changelog realistically show?

There is no hard limit, but most projects surface between 5 and 20 versions on a single page before linking to an archive or git history. For documentation demos, 3 to 5 versions is usually enough to communicate the pattern. Generating 3 versions here is sufficient to show version progression, date formatting, and the mix of entry types a reader expects.

Which project type should I choose for a REST API backend?

Select API library. That style generates entries referencing endpoints, response schemas, rate limits, authentication headers, and deprecation of specific routes — vocabulary that matches a REST or GraphQL backend changelog. The web app style focuses on UI components and user-facing flows, which would look out of place in API documentation.

How do I test a changelog parser with this output?

Generate 3 or more versions, copy the raw text output, and feed it as a fixture file to your parser. Look for edge cases: multiple subsections in one version block, versions with only a single entry type, and the [Unreleased] heading if your parser handles that. Generating several batches gives you varied entry counts per section, which surfaces off-by-one errors in parsing logic.

Does the generated changelog include an Unreleased section?

The generator focuses on versioned release blocks following Keep a Changelog's dated-version pattern. If your use case requires an [Unreleased] section at the top — common in active repos to collect upcoming changes — you can manually prepend that heading and a few entries from the generated output, since the format is identical to a versioned block without a date.