How to Use the AI Commit Message Generator Prep Tool
The AI Commit Message Generator Prep tool helps developers create high-quality, conventional commit messages by preparing git diffs for AI analysis. Paste your diff output, and the tool strips sensitive data, detects the type of change, and generates an optimized prompt for ChatGPT, Claude, or any AI assistant to write a clear, standards-compliant commit message.
Step-by-Step
Paste your git diff — Copy the output of git diff or git diff --staged and paste it into the input area.
Review the sensitivity scan — The tool highlights and masks any API keys, passwords, tokens, or secrets found in the diff before they reach an AI.
Check the detected change type — The tool analyzes the diff to suggest whether this is a feat, fix, refactor, docs, style, test, chore, or perf change based on file types and content patterns.
Customize the scope — Optionally specify a scope (e.g., auth, api, ui) or let the tool suggest one based on the changed file paths.
Copy the generated prompt — The tool produces a prompt that includes the cleaned diff, detected type, scope, and instructions for the AI to write a conventional commit message with a subject line, body, and optional footer.
Features
Sensitive Data Stripping — Automatically masks API keys, database credentials, JWT secrets, private keys, and environment variable values found in diff content.
Change Type Detection — Analyzes modified files, added/removed lines, and content patterns to suggest the conventional commit type: feat, fix, refactor, docs, style, test, chore, or perf.
Scope Suggestion — Infers the commit scope from changed file paths (e.g., changes in src/auth/ suggest scope auth).
Conventional Commits Format — Generated prompts instruct the AI to follow the Conventional Commits specification: type(scope): description, with optional body and footer sections.
Breaking Change Detection — Flags diffs that contain breaking changes (removed exports, changed interfaces, major refactors) and includes BREAKING CHANGE: footer instructions in the prompt.
Multi-Commit Support — For large diffs, suggests splitting into multiple logical commits with separate messages.
Common Use Cases
Daily Development — Quickly generate meaningful commit messages instead of writing vague messages like "fix stuff" or "updates."
Open Source Contributions — Ensure your commit messages follow the project's conventional commits standard before submitting a PR.
Release Automation — Conventional commit messages enable automated changelog generation and semantic versioning with tools like semantic-release.
Team Standards — Maintain consistent commit message quality across your entire team by using AI-generated messages as a starting point.
Code Reviews — Well-structured commit messages make code review easier by clearly communicating what changed and why.
Why Use This Tool
Good commit messages are essential for project maintainability, but writing them is tedious — especially for complex changes. By analyzing your diff and generating a structured prompt, this tool ensures the AI has the right context to write accurate, conventional commit messages. The sensitive data masking means you can safely use AI assistants without leaking secrets from your codebase, and the automatic type detection saves you from manually categorizing every change.