Implementing Automated Changelog Management with Cursor AI
Project Information
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AI Models Mentioned
Summary
A developer shares their successful implementation of automated changelog management using Cursor AI through custom rules. The setup ensures consistent version tracking, changelog updates, and release management by integrating semantic versioning principles with AI-assisted workflow automation.
Prompt
Configure Cursor AI with the following changelog management rules: 1. Monitor staged changes and ensure corresponding changelog entries exist under [Unreleased] section 2. Enforce semantic versioning rules: - Major version (X): Breaking changes - Minor version (Y): New features - Patch version (Z): Bug fixes 3. For releases: - Review [Unreleased] changes - Determine version bump based on change types - Move changes to new version section with date - Update bundleVersion in ProjectSettings.asset - Create commit with "release: Version X.Y.Z" - Generate git tag Validate all commits against these rules and prompt for changelog updates when missing.
Best Practices
Semantic Versioning Implementation
Use three-number versioning system (X.Y.Z) with clear rules for major, minor, and patch versions
Structured Changelog Categories
Categorize changes under specific headers (Added, Changed, Deprecated, Removed, Fixed, Security, Technical)
Automated Release Workflow
Automated process for version bumping, changelog updates, and git tagging
Common Mistakes to Avoid
Skip Changelog Updates
Don't commit changes without updating the changelog
Inconsistent Version Numbering
Don't increment version numbers arbitrarily without following semantic versioning rules
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