All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
Credits: FutureTranz-Inc | victorjquinones
- Initial release of AI Ethics Enforcement Toolkit
- AI Attribution Policy implementation
- Git hooks for commit message and pre-commit validation
- CI/CD integration scripts
- Comprehensive ethics policy documentation
- Zero trust security framework
- Human accountability requirements
- Legal compliance integration (copyright, patent laws)
- MIT License
- Beautiful README with architecture documentation
- Attribution credits for all contributors
- Maximum truth enforcement mechanisms
- Zero bias detection and prevention
- Least privileged access controls
- Automated policy checking
- Audit trail maintenance
- Multi-platform support (GitHub, GitLab, etc.)
- Complete API documentation
- Installation and usage guides
- Architecture overview
- Contributing guidelines
- Legal framework explanations
- Zero trust architecture implementation
- Input validation and sanitization
- Secure credential handling
- Audit logging
- Victor J. Quiñones - Lead Developer & Ethics Architect (FutureTranz)
- Expanded language support for C#, PowerShell, SQL, bun, Homebrew, Go, Rust, and PHP
- Comprehensive language-specific configuration documentation
- Manual installation instructions as alternative to universal installer
- Detailed file pattern detection for all supported technologies
- Enhanced configuration section with setup instructions for each language
- Updated README.md to reflect current toolkit capabilities
- Improved installation documentation with syntax error warning for universal installer
- Enhanced supported tools list with complete language coverage
- Syntax error in install-universal.sh causing installation failures
- Removed dummy if statement that was masking the real syntax issue
- Documentation formatting and link fixes in README.md
- Added missing configuration details for expanded language support
- Added detailed configuration section for all supported languages
- Provided manual installation steps for users affected by installer syntax error
- Updated installation instructions with current capabilities
- Marketing Message: Powerful anti-AI-corporate messaging highlighting credit theft crisis
- Comprehensive Platform Support: Windows, Linux, macOS, Docker, Kubernetes, Java ecosystems
- Credits System: Added GitHub repository credits to all documentation files
- Cross-Platform Package Managers: Chocolatey, APT, YUM, DNF, Pacman integration
- Container Orchestration: Kubernetes admission controllers and deployment validation
- Java Build Tools: Enhanced Maven and Gradle plugin support with ethics checking
- README.md: Added compelling marketing message about AI credit theft and corporate exploitation
- Documentation Credits: Added consistent credit attribution across all docs and changelogs
- Platform Detection: Enhanced installer with comprehensive OS and container platform detection
- Marketing Positioning: Reframed toolkit as protection against AI corporate overreach
- Python Code Quality: Moved all imports to top-level, fixed C0415 import-outside-toplevel errors
- Documentation Linting: Resolved markdown formatting issues and link fragment warnings
- Installer Syntax: Confirmed bash script syntax validation passes
- Code Standards: Improved Python import organization and code structure
- Added credits to all changelog, marketing, and documentation files
- Created anti-corporate AI marketing message addressing developer exploitation
- Enhanced platform-specific setup instructions for all supported environments
- Improved documentation consistency and credit attribution standards
- AI Credit Theft Narrative: Positioned toolkit as defense against AI companies stealing credit
- Corporate Accountability: Highlighted issue of exorbitant AI service fees vs. credit appropriation
- Developer Empowerment: Framed solution as taking back control from AI corporations
- Ethical Positioning: Emphasized human authorship protection and IP rights defense
- Platform Support: Windows, Linux, and macOS system integration
- Container Platforms: Docker and Kubernetes deployment support
- Java Runtime: Enhanced Java build tool integration (Maven, Gradle)
- Windows Package Managers: Chocolatey and Windows Package Manager support
- Linux Package Managers: APT, YUM, DNF, and Pacman integration
- Container Detection: Dockerfile and docker-compose.yml detection
- Kubernetes Manifests: YAML/yml file pattern recognition for K8s deployments
- System Services: Windows Task Scheduler, Linux PAM modules, macOS Launch Agents
- Cross-Platform Installation: Universal installer now supports Windows, Linux, and macOS
- Container Integration: Docker multi-stage builds and Kubernetes admission controllers
- Java Ecosystem: Maven and Gradle plugin configurations
- Platform-Specific Setup: Detailed installation guides for each supported platform
- Added comprehensive platform-specific configuration sections
- Included Docker and Kubernetes integration examples
- Enhanced Java runtime environment setup instructions
- Added Windows and Linux package manager installation guides
Legend:
Addedfor new featuresChangedfor changes in existing functionalityDeprecatedfor soon-to-be removed featuresRemovedfor now removed featuresFixedfor any bug fixesSecurityin case of vulnerabilities