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31 changes: 31 additions & 0 deletions .orchestration/active_intents.yaml
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active_intents:
- id: "INT-001"
name: "Weather API Implementation"
status: "IN_PROGRESS"
owned_scope:
- "src/weather/**"
- "*.js"
- "*.ts"
constraints:
- "Use async/await for all async operations"
- "Include error handling with try/catch"
- "Return JSON format responses"
- "Add input validation"
acceptance_criteria:
- "Unit tests pass with >80% coverage"
- "API returns correct weather data"
- "Error cases handled gracefully"

- id: "INT-002"
name: "Authentication Middleware"
status: "PLANNED"
owned_scope:
- "src/auth/**"
- "src/middleware/auth.ts"
constraints:
- "Use JWT tokens"
- "Implement rate limiting"
- "Log all auth attempts"
acceptance_criteria:
- "Auth tests pass"
- "Security audit passed"
2 changes: 2 additions & 0 deletions .orchestration/agent_trace.jsonl
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{"timestamp":"2026-02-21T20:41:12.120Z","intent_id":"INT-001","file_path":"src/core/tools/WriteToFileTool.ts","content_sha256":"5feceb66ffc86f38d952786c6d696c79c2dbc239dd4e91b46729d73a27fb57e9","semantic_change":"EVOLUTION","tool":"write_to_file"}
{"timestamp":"2026-02-21T20:52:45.918Z","intent_id":"INT-001","file_path":"src/core/assistant-message/presentAssistantMessage.ts","content_sha256":"6b86b273ff34fce19d6b804eff5a3f5747ada4eaa22f1d49c01e52ddb7875b4b","semantic_change":"REFACTOR","tool":"apply_patch"}
29 changes: 29 additions & 0 deletions .orchestration/intent_map.md
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# Intent Map

## INT-001: Weather API Implementation

- **Status:** IN_PROGRESS
- **Files:**
- `src/weather/api.js` - Main API endpoints
- `src/weather/service.js` - Weather service logic
- `src/weather/utils.js` - Helper functions
- **AST Nodes:**
- `WeatherService` class
- `getWeatherData()` function
- `formatWeatherResponse()` function
- **Dependencies:** OpenWeatherMap API
- **Last Updated:** 2026-02-21

## INT-002: Authentication Middleware

- **Status:** PLANNED
- **Files:**
- `src/auth/jwt.js` - JWT handling
- `src/middleware/auth.js` - Auth middleware
- `src/auth/rate-limit.js` - Rate limiting
- **AST Nodes:**
- `authenticateToken()` middleware
- `generateToken()` function
- `RateLimiter` class
- **Dependencies:** jsonwebtoken, express-rate-limit
- **Last Updated:** 2026-02-21
1 change: 1 addition & 0 deletions .vscode/launch.json
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"name": "Run Extension",
"type": "extensionHost",
"request": "launch",
"stopOnEntry": false,
"runtimeExecutable": "${execPath}",
"args": ["--extensionDevelopmentPath=${workspaceFolder}/src"],
"sourceMaps": true,
Expand Down
13 changes: 13 additions & 0 deletions .vscode/mcp.json
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{
"servers": {
"tenxfeedbackanalytics": {
"url": "https://mcppulse.10academy.org/proxy",
"type": "http",
"headers": {
"X-Device": "windows",
"X-Coding-Tool": "vscode"
}
}
},
"inputs": []
}
90 changes: 90 additions & 0 deletions ARCHITECTURE_NOTES.md
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# Architecture Notes: Master Thinker Edition

## 1. Data Flow Map (Request-to-Execution)

1. User Input: Received via the React Webview.
2. Context Assembly: `ClineProvider.ts` calls `src/core/task/Task.ts` to generate the System Prompt.
3. Decision: The LLM selects a tool. `presentAssistantMessage.ts` orchestrates the tool call.
4. Execution: `WriteToFileTool.ts` executes the `handle()` method to modify the file system.

## 2. Governance Interception Points

- **Pre-Hook (Phase 1/2):** Located in `WriteToFileTool.ts` inside `handle()`. This will block execution if `.orchestration/active_intents.yaml` does not have an `in-progress` status.
- **Post-Hook (Phase 3):** Located at the end of `handle()` after a successful write. This will trigger the `agent_trace.jsonl` logger to hash the new content.

## 3. Intent-Code Gap Analysis

Standard Git tracks "What" changed but lacks the "Why." By using a sidecar orchestration layer, we map every Abstract Syntax Tree (AST) change to a specific Requirement ID. This prevents "Context Rot" where agents lose track of architectural constraints during long-running tasks.

# Architectural Design Report

## 1. The Intent-First Protocol (Two-Stage State Machine)

The core of this implementation is a move away from "Vibe Coding" towards a governed, stateful interaction. I have architected a Two-Stage State Machine for every user request:

**Stage 1: The Reasoning Intercept (The Handshake):** The agent is no longer permitted to generate code immediately. It must first analyze the request, identify a valid intent_id from the governance sidecar, and call the select_active_intent tool.
+1

**Stage 2: Contextualized Action:** Only after the "Handshake" is successful and the context is injected can the agent proceed to use destructive tools like write_to_file or execute_command.
+1

## 2. The Deterministic Hook (Gatekeeper Architecture)

To ensure compliance, I implemented a Deterministic Hook System that acts as a strict middleware boundary:
+1

Pre-Hook Implementation: In WriteToFileTool.ts and ExecuteCommandTool.ts, I injected a gatekeeper check at the start of the handle method.

Verification Logic: This hook verifies the presence of a global active intent flag. If the agent attempts a file modification without a validated "checkout," the hook blocks execution and returns a formal governance error: "You must cite a valid active Intent ID".

Fail-Safe: This ensures that the architecture enforces the rules, rather than relying on the LLM's "best effort" to follow instructions.

## 3. Context Engineering (Dynamic Injection vs. Context Rot)

Traditional AI IDEs suffer from "Context Rot" by dumping entire file trees into the prompt. This implementation solves this via Dynamic Context Injection:
+1

**Sidecar Pattern:** All architectural constraints and business intents are stored in .orchestration/active_intents.yaml.
+1

**On-Demand Context:** When select_active_intent is called, the system reads the YAML and constructs a targeted <intent_context> XML block.

**Traceability:** This ensures the agent only operates within its "owned_scope" and respects the "acceptance_criteria" defined in the sidecar, maintaining a high signal-to-noise ratio in the context window.

## 5. Diagrams and Schemas (Required for Interim Submission)

### A. The Two-Stage Handshake (Sequence Diagram)

This diagram illustrates how the Hook Engine intercepts the LLM's request to ensure intent-validation before execution.

```mermaid
sequenceDiagram
participant User
participant LLM as Roo Code Agent
participant Hook as Hook Engine (Middleware)
participant Sidecar as .orchestration/active_intents.yaml

User->>LLM: "Refactor Auth Logic"
Note over LLM: Agent is blocked from writing code
LLM->>Hook: call select_active_intent(INT-001)
Hook->>Sidecar: Validate Intent ID & Status
Sidecar-->>Hook: Return Scope & Constraints
Hook-->>LLM: Inject <intent_context> into prompt
Note over LLM: Agent now has authorization
LLM->>User: "I have loaded intent INT-001. Proceeding..."
```

### B. Intent Context Schema

```xml
<intent_context>
<intent_id>INT-001</intent_id>
<status>IN PROGRESS</status>
<owned_scope>
<file>src/auth/\*\*</file>
<file>src/middleware/jwt.ts</file>
</owned_scope>
<constraints> - Must not use external auth providers - Maintain backward compatibility
</constraints>
</intent_context>
```
40 changes: 40 additions & 0 deletions SUBMISSION_README.md
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# Roo Code Master Thinker - Week 1 Final Submission

## Project Overview

A governed AI-native IDE with intent-code traceability, human-in-the-loop security, and concurrent agent safety. This implementation transforms the Roo Code extension from a simple chatbot into a governed orchestration system where every action requires verified intent.

## Implemented Phases

### ✅ Phase 0: Architecture Mapping

- Mapped tool execution flow in `presentAssistantMessage.ts`
- Located prompt builder in `system.ts`
- Identified webview communication in `ClineProvider.ts`

### ✅ Phase 1: The Handshake

- `select_active_intent` tool for intent selection
- `IntentContextLoader` reads YAML and returns XML context
- System prompt enforces intent-first protocol
- Gatekeeper blocks writes without valid intent

### ✅ Phase 2: Hook Middleware

- Command classification (SAFE vs DESTRUCTIVE)
- HITL authorization dialogs for destructive commands
- Scope enforcement against intent's `owned_scope`
- Autonomous recovery with structured error responses

### ✅ Phase 3: Traceability

- SHA-256 content hashing for spatial independence
- Semantic classification (REFACTOR vs EVOLUTION)
- JSONL trace recording to `agent_trace.jsonl`
- Links intent IDs to content hashes

### ✅ Phase 4: Concurrency

- Optimistic locking with pre-write hash capture
- Stale file detection and blocking
- Clear conflict resolution with re-read guidance
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