ConfigGenerator

Release Notes Generator

Generate software release notes from commits, tags, issues, PRs, Conventional Commits, GitHub, GitLab, Azure DevOps, Jira, and semantic-release.

Output:A ready-to-use configuration file for Release Notes with best practices applied.

Release Metadata

The new semantic version tag.

Used for generating compare links.

Defaults to today if empty.

Name of the project.

Release Content

A brief overview of the release.

List of new capabilities.

List of resolved issues.

Important changes that break backward compatibility.

Quick Summary

Use a Release Notes Generator when you need software release notes compiled from commits, pull requests, issues, tags, Conventional Commits, or changelog entries formatted into Markdown.

What is this tool?

A Release Notes Generator is a tool that takes a list of changes, commits, or bug fixes and organizes them into a readable Markdown document. It categorizes changes into Features, Fixes, and Breaking Changes so users and stakeholders can easily understand what is new in a software update.

Release Notes Markdown Template Example

## v1.2.0 (2026-08-15)

### 🚀 Features
- **api**: added user authentication endpoint (#42)

### 🐛 Bug Fixes
- **ui**: resolved navbar overlap on mobile (#45)

### ⚠️ BREAKING CHANGES
- **auth**: The /auth endpoint has been renamed to /login.

How to Use This Tool

  1. Input your version number and release date.
  2. Add your features, bug fixes, and maintenance tasks.
  3. Flag any breaking changes that require user migration.
  4. Generate the markdown output.
  5. Paste the output into your CHANGELOG.md file or directly into a GitHub Release page.

What This Tool Generates

  • release-notes.md containing structured markdown formatting.
  • A snippet ready to be appended to a project's CHANGELOG.md.
  • Text optimized for GitHub Releases, GitLab Releases, or Azure DevOps announcements.
  • Guidance for configuring semantic-release.

Best Practices

  • Write release notes for humans, not machines. Explain the impact of the change, not just the code diff.
  • Group changes logically: Features, Fixes, Performance, Deprecations.
  • If you enforce Conventional Commits in your repo, you can automate this entire process using tools like <code>semantic-release</code>.

Security Notes

  • Review release notes before publishing to ensure no internal security vulnerabilities (like specific server IPs, sensitive bug details, or zero-day exploits) are publicly disclosed prematurely.
  • If using AI release notes generators, ensure they do not hallucinate features or promise functionality that was not actually shipped.

Frequently Asked Questions

What is a Release Notes Generator?
It is a utility that formats a raw list of software updates (like Git commits or Jira tickets) into a structured, readable Markdown document for end-users.
How do I generate release notes?
Use our generator to manually categorize your updates, or use an automated CI/CD tool (like GitHub Actions or semantic-release) to parse your Git history automatically.
What is a release notes example?
A standard release note includes a version header (v2.0), a list of new Features, a list of Bug Fixes, and crucially, a section for Breaking Changes and migration instructions.
What is the difference between release notes and changelog?
A changelog is a single, continuous file (CHANGELOG.md) containing the entire history of every version's updates. Release notes are usually published individually per version (e.g., on a GitHub Release page or blog post) and often include more human-readable context.
Can I generate GitHub release notes?
Yes, the markdown generated by this tool is perfectly formatted for the GitHub Releases UI.
Can I generate release notes from Conventional Commits?
Yes, if your commits follow the feat/fix convention, they map perfectly into the Features and Fixes sections of standard release notes.
Can I use this with semantic-release?
semantic-release is an automated npm package that generates notes for you. You can use our tool to design your ideal template, and then configure semantic-release to match it.
Can I generate AI release notes?
While this is a manual formatting tool, you can feed your Git diffs to an AI (like ChatGPT or Gemini) to summarize the changes, then paste those summaries here for final Markdown formatting.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.