ConfigGenerator

Commit Message Generator

Generate clear Git commit messages with Conventional Commits, feat/fix prefixes, summaries, bodies, scopes, breaking changes, and examples.

Output:A ready-to-use configuration file for Commit Message with best practices applied.

Commit Style

Message Content

Module or component affected.

Imperative, lowercase description of the change.

Jira ticket or GitHub issue reference.

Quick Summary

Use a Commit Message Generator when you need clear Git commit messages that follow Conventional Commits, include feat/fix prefixes, and explain changes properly to automate your release notes.

What is this tool?

A Commit Message Generator is an interactive tool that helps you format Git commits according to standard conventions (like Conventional Commits). Instead of guessing what to write, it guides you through selecting a type, scope, summary, and detailed body.

Conventional Commit Message Format Example

feat(api): add user authentication endpoint

Introduced JWT-based authentication for the /login route.
Resolves issue #42

BREAKING CHANGE: The /auth endpoint has been renamed to /login

How to Use This Tool

  1. Select the commit type (e.g., feat, fix, docs, chore).
  2. Enter an optional scope (e.g., api, ui).
  3. Write a short summary of the change (under 50-72 characters).
  4. Add an optional longer body explaining the "why" and "how".
  5. Mark if it is a BREAKING CHANGE and copy the resulting string to your terminal or IDE.

What This Tool Generates

  • Properly formatted commit message text.
  • The complete git commit -m "..." -m "..." command string for easy terminal pasting.

Best Practices

  • Keep the summary line concise (aim for 50 characters, max 72).
  • Use the imperative mood in the summary (e.g., "add feature" not "added feature").
  • Explain the <em>why</em> in the body, not just the <em>what</em>. The code already shows <em>how</em> it changed.

Security Notes

  • Never include sensitive data (API keys, passwords, customer data) in commit messages, as Git history is permanent.
  • If you accidentally commit a secret, use <code>git commit --amend</code> to fix the message locally before pushing, or rewrite history if already pushed.
  • When using AI to generate commit messages (like Copilot), review the output to ensure it accurately reflects your code changes and doesn&apos;t hallucinate features.

Frequently Asked Questions

What is a Commit Message Generator?
It is a tool that assists developers in writing standardized, clear, and professional Git commit messages, usually following the Conventional Commits specification.
What is a good commit message?
A good commit message concisely describes what changed in the first line (using imperative mood), followed by an empty line, and then a detailed explanation of why the change was made.
How long should a commit message be?
The first line (subject/summary) should be under 50 to 72 characters so it displays correctly in Git logs and platforms like GitHub. The body can be as long as necessary, wrapping text at 72 characters.
What is Conventional Commits?
Conventional Commits is a lightweight specification on top of commit messages. It provides an easy set of rules for creating an explicit commit history (e.g., prefixing with feat: or fix:) which makes it easy to write automated tools on top of.
What does feat or fix mean in commit messages?
'feat' introduces a new feature to the codebase, which correlates with a MINOR release in Semantic Versioning. 'fix' patches a bug in your codebase, which correlates with a PATCH release.
Can I generate AI commit messages?
While this specific tool focuses on structured Conventional Commits, AI tools like GitHub Copilot or ChatGPT can generate the text for you. You can paste AI output here to ensure it is properly formatted.
How do I edit a commit message?
If you haven't pushed yet, use 'git commit --amend' in your terminal to change the most recent commit message. For older commits, you need to use interactive rebase.
How do I update commit message in Git?
Run 'git commit --amend -m &quot;New message&quot;' to overwrite the last local commit message before pushing to the remote repository.

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.