Captures and evolves repetitive developer patterns into reusable AI instincts and personalized skills.
AI Learning & Instincts is a specialized performance optimization system for the MDT framework that allows Claude to learn from your specific coding habits and project-level preferences. By tracking observations and assigning confidence scores to patterns—such as preferred code styles or common multi-step workflows—it transforms repetitive behaviors into "instincts." This ensures your AI assistant becomes increasingly personalized over time, moving from tentative suggestions to core behaviors while maintaining strict project isolation or promoting global best practices when patterns recur across multiple repositories.
주요 기능
010 GitHub stars
02Automated weekly retrospectives to identify automation and MCP integration candidates
03Instinct-based learning with confidence-weighted evidence scoring (0.3 to 0.9)
04Evolution paths to promote high-confidence instincts into permanent skills or commands
05Project-scoped storage to prevent pattern contamination between different codebases
06Manual-first capture baseline with an optional opt-in background observer
사용 사례
01Identifying repeated shell commands to convert them into automated scripts or custom tools
02Personalizing AI behavior across diverse repositories while maintaining local security boundaries
03Enforcing project-specific coding conventions like React hook patterns or error handling strategies
