erne-learn

Extract reusable patterns from a coding session by analyzing recent activity to identify repeated fixes, architectural decisions, and library usage. This process surfaces actionable coding patterns and generates skill or rule candidates for future sessions.

Automate skill generation by running a continuous-learning pipeline against your ongoing coding sessions. This pipeline evaluates session activity to produce skill and rule candidates, enforcing validation by comparing new content against existing knowledge before saving.

Turn repeated code fixes into rules by analyzing session activity for recurring patterns. The extracted fixes are converted into rule amendments, integrated directly into existing rules workflows for immediate adoption.

You can automatically update your knowledge base with architectural patterns by applying session analysis across ongoing work. The system identifies significant architectural trends and updates the knowledge base after running validation scripts to ensure accuracy.

Continuous learning integrates directly with existing skills and rules workflows. It generates candidates for quick adoption into these established directories, requiring validation against current content before any updates are saved.

Run session analysis immediately after completing a coding session. This timing captures recent activity accurately, allowing the pipeline to extract relevant patterns and generate validated skill candidates for review.