refactor: move metacognition/ from system/ to reference/ to reduce system prompt size for subagent spawning

reference/ade_subagent_implementation.md

@@ -0,0 +1,67 @@
+---
+description: Community ADE SubagentDispatcher implementation - SDK-based subagent spawning
+limit: 5000
+---
+
+# SubagentDispatcher SDK Implementation
+
+**Completed:** 2026-03-21
+**Commit:** `03db04e` - feat: replace simulateSubagent with actual SDK calls
+
+## What Was Built
+
+Replaced the placeholder `simulateSubagent()` with actual Letta Code SDK calls.
+
+### Key Features
+
+#### 1. Dynamic SDK Import
+```typescript
+let sdk: typeof import('@letta-ai/letta-code-sdk') | null = null;
+
+async function getSDK(): Promise<typeof import('@letta-ai/letta-code-sdk')> {
+  if (!sdk) {
+    sdk = await import('@letta-ai/letta-code-sdk');
+  }
+  return sdk;
+}
+```
+
+#### 2. Model Tier Mapping
+```typescript
+const MODEL_TIERS = {
+  opus: 'kimi-k2.5',      // Complex reasoning, architecture
+  sonnet: 'nemotron-3-super', // Implementation, coding
+  k2: 'k2-thinking',      // Verification, edge cases
+};
+```
+
+**Selection logic:**
+- `architecture` / `design` → opus (kimi-k2.5)
+- `static` / `style` → sonnet (nemotron-3-super)
+- `runtime` / `security` → k2 (k2-thinking)
+
+#### 3. spawnSubagent() Method
+Uses actual SDK primitives:
+- `SDK.createAgent()` - Spawns subagent with persona + model
+- `SDK.prompt()` - One-shot execution with recovery
+- `AbortController` - Cancellation support
+
+#### 4. Iterative Refinement
+```typescript
+async refineUntilConvergence(task, options): Promise<SubagentResult>
+```
+
+**Features:**
+- Configurable max iterations (default: 3)
+- Convergence detection based on result stability
+- Task refinement between iterations
+- Returns best result from all attempts
+
+### File Location
+`/home/ani/Projects/community-ade/community-ade-wt/mvp-unified/src/verification/executors/SubagentDispatcher.ts`
+
+### Next Steps
+- Connect to Express routes for HTTP-triggered verification
+- Add result caching layer
+- Implement result streaming for long-running verifications
+- Add metrics collection (duration, success rates by model tier)