docs(conductor): Synchronize docs for track 'MMA Core Engine Implementation'
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@@ -15,10 +15,12 @@ To serve as an expert-level utility for personal developer use on small projects
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- **Tier 2 (Tech Lead):** Technical oversight and track execution (`/conductor:implement`) using `gemini-3-flash-preview`. Maintains persistent context throughout implementation.
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- **Tier 3 (Worker):** Surgical code implementation and TDD using `gemini-2.5-flash-lite` or `deepseek-v3`. Operates statelessly with tool access and dependency skeletons.
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- **Tier 4 (QA):** Error analysis and diagnostics using `gemini-2.5-flash-lite` or `deepseek-v3`. Operates statelessly with tool access.
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- **MMA Delegation Engine:** Utilizes the `mma-exec` CLI and `mma.ps1` helper to route tasks, ensuring role-scoped context and detailed observability via timestamped sub-agent logs.
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- **MMA Delegation Engine:** Utilizes the `mma-exec` CLI and `mma.ps1` helper to route tasks, ensuring role-scoped context and detailed observability via timestamped sub-agent logs. Supports dynamic ticket creation and dependency resolution via an automated Dispatcher Loop.
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- **Role-Scoped Documentation:** Automated mapping of foundational documents to specific tiers to prevent token bloat and maintain high-signal context.
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- **Strict Memory Siloing:** Employs AST-based interface extraction and "Context Amnesia" to provide workers only with the absolute minimum context required, preventing hallucination loops.
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- **Strict Memory Siloing:** Employs tree-sitter AST-based interface extraction (Skeleton View, Curated View) and "Context Amnesia" to provide workers only with the absolute minimum context required, preventing hallucination loops.
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- **Explicit Execution Control:** All AI-generated PowerShell scripts require explicit human confirmation via interactive UI dialogs before execution, supported by a global "Linear Execution Clutch" for deterministic debugging.
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- **Asynchronous Event-Driven Architecture:** Uses an `AsyncEventQueue` to link GUI actions to the backend engine, ensuring the interface remains fully responsive during multi-model generation and parallel worker execution.
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- **Automated Tier 4 QA:** Integrates real-time error interception in the shell runner, automatically forwarding technical failures to cheap sub-agents for 20-word diagnostic summaries injected back into the worker history.
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- **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
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- **In-Depth Toolset Access:** MCP-like file exploration, URL fetching, search, and dynamic context aggregation embedded within a multi-viewport Dear PyGui/ImGui interface.
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- **Integrated Workspace:** A consolidated Hub-based layout (Context, AI Settings, Discussion, Operations) designed for expert multi-monitor workflows.
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## Architectural Patterns
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- **Event-Driven Metrics:** Uses a custom `EventEmitter` to decouple API lifecycle events from UI rendering, improving performance and responsiveness.
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- **Asynchronous Event Bus:** Employs an `AsyncEventQueue` based on `asyncio.Queue` to manage the communication between the UI and the backend multi-agent orchestrator without blocking.
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- **Synchronous IPC Approval Flow:** A specialized bridge mechanism that allows headless AI providers (like Gemini CLI) to synchronously request and receive human approval for tool calls via the GUI's REST API hooks.
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- **Interface-Driven Development (IDD):** Enforces a "Stub-and-Resolve" pattern where cross-module dependencies are resolved by generating signatures/contracts before implementation.
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