- Added `ModelFineTuner` class for preparing training data and fine-tuning models based on user corrections.
- Introduced `CodeValidator` class to validate generated code against various hardware and style rules, including safety checks and function naming conventions.
- Developed skills for calculator operations, system information retrieval, weather fetching, and timer functionality.
- Implemented a self-diagnostic skill to run unit tests and report results.
- Created a dynamic skill loading mechanism to discover and register skills from the current directory.
- Added unit tests for skills to ensure functionality and reliability.
- Introduced comprehensive documentation detailing features, capabilities, and architecture of BuddAI v4.0.
- Highlighted the symbiotic relationship between user and AI, emphasizing personalized learning and memory retention.
- Included validation results showcasing 90% accuracy across various coding tasks.
- Documented the journey of development and validation from December 2025 to January 2026.
- Outlined business value, commercialization potential, and future roadmap for enhancements.
- Added ShadowSuggestionEngine for proactive module suggestions based on user history.
- Implemented style signature scanning to extract coding preferences from indexed repositories.
- Enhanced chat functionality to include search queries for repository functions.
- Updated database schema to include style preferences.
- Improved modular build execution with Forge Theory integration.
- Added proactive suggestion bar to responses based on user input and generated code.
- Refined code generation to align with user-specific naming conventions and safety patterns.
- Introduced commands for scanning style signatures and improved help documentation.
