30 lines
3.9 KiB
Markdown
30 lines
3.9 KiB
Markdown
# Product Guide: Manual Slop
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## Vision
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To serve as an expert-level utility for personal developer use on small projects, providing full, manual control over vendor API metrics, agent capabilities, and context memory usage.
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## Primary Use Cases
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- **Full Control over Vendor APIs:** Exposing detailed API metrics and configuring deep agent capabilities directly within the GUI.
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- **Context & Memory Management:** Better visualization and management of token usage and context memory, allowing developers to optimize prompt limits manually.
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- **Manual "Vibe Coding" Assistant:** Serving as an auxiliary, multi-provider assistant that natively interacts with the codebase via sandboxed PowerShell scripts and MCP-like file tools, emphasizing manual developer oversight and explicit confirmation.
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## Key Features
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- **Multi-Provider Integration:** Supports both Gemini and Anthropic with seamless switching.
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- **4-Tier Hierarchical Multi-Model Architecture:** Orchestrates an intelligent cascade of specialized models to isolate cognitive loads and minimize token burn.
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- **Tier 1 (Orchestrator):** Product alignment and high-level strategy using `gemini-3.1-pro-preview`.
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- **Tier 2 (Tech Lead):** Architectural design and technical planning using `gemini-3-flash-preview`.
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- **Tier 3 (Worker):** Focused implementation and surgical code changes using `gemini-2.5-flash-lite`.
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- **Tier 4 (QA):** Bug reproduction, test analysis, and error translation using `gemini-2.5-flash-lite`.
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- **MMA Delegation Engine:** Utilizes the `mma-exec` CLI and `mma.ps1` helper to route tasks, ensuring each tier receives role-scoped context (e.g., Orchestrators get Product docs; Workers get Workflow specs).
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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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- **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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- **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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- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode.
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- **Performance Diagnostics:** Built-in telemetry for FPS, Frame Time, and CPU usage, with a dedicated Diagnostics Panel and AI API hooks for performance analysis.
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- **Automated UX Verification:** A robust IPC mechanism via API hooks and a modular simulation suite allows for human-like simulation walkthroughs and automated regression testing of the full GUI lifecycle across multiple specialized scenarios.
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- **Headless Backend Service:** Optional headless mode allowing the core AI and tool execution logic to run as a decoupled REST API service (FastAPI), optimized for Docker and server-side environments (e.g., Unraid).
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- **Remote Confirmation Protocol:** A non-blocking, ID-based challenge/response mechanism for approving AI actions via the REST API, enabling remote "Human-in-the-Loop" safety.
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- **Gemini CLI Integration:** Allows using the `gemini` CLI as a headless backend provider. This enables leveraging Gemini subscriptions with advanced features like persistent sessions, while maintaining full "Human-in-the-Loop" safety through a dedicated bridge for synchronous tool call approvals within the Manual Slop GUI. |