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+## **1. Project Overview**
+
+**Goal:**
+Develop an **Intent-Code Traceability system** for the AI-Native IDE that ensures AI-generated code aligns with user intent and can be tracked, reasoned over, and verified.
+
+**Core Features:**
+
+- **Two-stage Reasoning Loop** (State Machine):
+
+    - **Stage 1:** Capture client intent, map to AI code action.
+    - **Stage 2:** Validate AI-generated code, detect misalignment, log corrections.
+
+- **Hook System Integration**:
+
+    - Identify injection points in **Roo Code** for tracking.
+    - Pre-commit, post-commit, and runtime hooks for tracing execution.
+
+- **`.orchestration/` directory**:
+
+    - Stores intent metadata, execution logs, and reasoning states.
+
+- **Intent-Code Mapping**:
+
+    - Links user intent → AI agent decisions → generated code → execution results.
+
+- **Auditability**:
+
+    - Every code change is traceable to its originating intent.
+
+---
+
+## **2. Architecture Layers**
+
+### **A. Input Layer (Intent Capture)**
+
+- **Source:** User commands in the IDE, chat prompts, or code requests.
+- **Components:**
+
+    - Intent Parser (NLP model / regex-based)
+    - Preprocessing Engine (normalize ambiguous input)
+
+- **Output:** Structured intent objects (`JSON/YAML`).
+
+### **B. Hook System Layer**
+
+- **Integration Points:** Roo Code Extension
+
+    - **Pre-commit hook:** Captures intent vs proposed AI code.
+    - **Post-commit hook:** Logs executed code and execution result.
+    - **Custom Reasoning hooks:** Intercepts AI agent output for validation.
+
+- **Responsibilities:**
+
+    - Validate AI output before commit.
+    - Trigger state updates in Reasoning Loop.
+    - Maintain orchestration logs.
+
+### **C. Orchestration & Reasoning Layer**
+
+- **State Machine (Two-Stage Loop)**:
+
+    - **Stage 1: Intent → Proposed Code**
+
+        - AI agent generates code based on captured intent.
+        - Hook system verifies structure and alignment.
+
+    - **Stage 2: Code Validation**
+
+        - Execute test cases or lint checks.
+        - Detect mismatches and suggest corrections.
+
+- **Data Storage:** `.orchestration/` directory
+
+    - Stores:
+
+        - Intent metadata
+        - AI decisions and reasoning traces
+        - Validation results
+        - Hook system logs
+
+### **D. Storage & Traceability Layer**
+
+- **File System:** `.orchestration/` for local tracking
+- **Optional DB:** Lightweight database (SQLite/PostgreSQL) for:
+
+    - Intent history
+    - AI agent output logs
+    - Validation state
+
+- **Purpose:** Allows historical analysis and auditability.
+
+### **E. Output & Feedback Layer**
+
+- **Developer Feedback:**
+
+    - Misalignment alerts
+    - Suggested corrections
+    - Intent-Code mapping visualizations
+
+- **Metrics & Analysis:**
+
+    - Traceability coverage
+    - Reasoning loop success rate
+    - Hook system performance
+
+---
+
+## **3. Development Plan / Workflow**
+
+1. **Phase 0: Prep**
+
+    - Review `ARCHITECTURE-NOTES.md` for Roo Code injection points.
+    - Map the cognitive and trust debt decisions → reasoning logic.
+    - Setup Git repo with **Git Speck Kit**.
+
+2. **Phase 1: Hook System Implementation**
+
+    - Identify Roo Code extension points for:
+
+        - pre-commit
+        - post-commit
+        - runtime reasoning interception
+
+    - Build hook scripts.
+    - Unit test hooks independently.
+
+3. **Phase 2: Reasoning Loop**
+
+    - Implement two-stage state machine.
+    - Connect hooks to Reasoning Loop states.
+    - Implement intent validation logic.
+
+4. **Phase 3: Orchestration Directory**
+
+    - `.orchestration/` for:
+
+        - intent.json
+        - reasoning_state.json
+        - validation_results.json
+
+    - Implement read/write APIs for traceability.
+
+5. **Phase 4: Logging & Traceability**
+
+    - Implement audit logs for every hook event.
+    - Integrate with Git Speck Kit for code snapshots.
+    - Enable metrics collection for AI alignment tracking.
+
+6. **Phase 5: Testing & Validation**
+
+    - Create sample AI-generated code scenarios.
+    - Test traceability pipeline end-to-end.
+    - Measure coverage of intent-code alignment.
+
+7. **Phase 6: Documentation**
+
+    - Maintain `ARCHITECTURE_NOTES.md` and `README.md`.
+    - Document hook usage, state machine, and orchestration structure.
+
+---
+
+## **4. Tech Stack / Tools**
+
+- **Git & Git Speck Kit:** Source control, snapshots, hooks.
+- **Python / Node.js:** For hooks and orchestration logic.
+- **JSON/YAML:** Intent and traceability storage.
+- **Roo Code Extension:** Injection points for hook system.
+- **Lightweight DB (Optional):** SQLite or PostgreSQL for logs.
+- **NLP / Parsing:** Optional intent parsing models.
+- **Testing Frameworks:** pytest / Jest for automated validation.
+
+---
+
+## **5. Key Architectural Decisions (From Cognitive & Trust Debt)**
+
+- Track only **AI-generated code relevant to intent** instead of all outputs.
+- Enforce **two-stage validation loop** to prevent drift between intent and code.
+- Maintain **self-contained orchestration directory** to simplify tracing and rollback.
+- Use **hooks as checkpoints** rather than full code reviews to scale traceability.
+- **Metrics-driven design:** Log reasoning steps to improve future AI alignment.