Continuous Learning v2
Instinct-based learning with confidence scoring.
Instinct Structure
json
{
"id": "compose-state-hoisting",
"type": "pattern",
"description": "Always hoist state to caller in Composables",
"confidence": 0.85,
"examples": [...],
"context": "jetpack-compose",
"lastUsed": "2026-02-02"
}
Confidence Scoring
| Score | Meaning |
|---|---|
| 0.0-0.3 | Experimental |
| 0.3-0.6 | Validated |
| 0.6-0.8 | Established |
| 0.8-1.0 | Best practice |
Confidence increases with:
- •Successful application
- •User acceptance
- •Consistency across sessions
Commands
bash
/instinct-status # View with confidence /instinct-import <file> # Import from others /instinct-export # Export for sharing /evolve # Cluster related instincts
Mobile-Specific Instincts
Pre-configured patterns for:
- •Compose recomposition optimization
- •MVI state management
- •Koin module organization
- •Ktor error handling
- •Espresso test patterns
Remember: Instincts evolve. Low confidence patterns may become best practices.