continuous-learning-v2

To automatically capture learned patterns, this system observes your sessions via hooks and creates atomic instincts with confidence scoring. It continuously analyzes your interactions to build reusable behavioral patterns without manual intervention.

Instinct-based learning is an automated process that observes user sessions via hooks to create atomic instincts with confidence scoring. These learned patterns evolve into reusable skills, commands, or agents to enhance development productivity.

To prevent cross-project pattern contamination, the system utilizes project-scoped instincts that isolate learned patterns to specific projects. This ensures observed behaviors in one codebase do not incorrectly influence another project's automation.

Yes, you can evolve learned development patterns through an evolution pipeline that promotes atomic instincts into full skills, commands, or agents. This allows universally valuable project-specific patterns to be elevated for broader reuse.

Yes, the system works with React project workflows by observing your preferred patterns for hooks and component structures. It automatically creates project-specific instincts that adapt to your specific development framework and practices.

To check the status of your learned instincts, use the /instinct-status command. This provides visibility into the atomic patterns the system has captured and their current confidence scoring from your development sessions.