Files
manual_slop/conductor/product.md

23 lines
2.9 KiB
Markdown

# Product Guide: Manual Slop
## Vision
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.
## Primary Use Cases
- **Full Control over Vendor APIs:** Exposing detailed API metrics and configuring deep agent capabilities directly within the GUI.
- **Context & Memory Management:** Better visualization and management of token usage and context memory, allowing developers to optimize prompt limits manually.
- **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.
## Key Features
- **Multi-Provider Integration:** Supports both Gemini and Anthropic with seamless switching.
- **4-Tier Hierarchical Multi-Model Architecture:** Orchestrates an intelligent cascade of specialized models (Product Manager, Tech Lead, Contributor, QA) to isolate cognitive loads and minimize token burn.
- **Strict Memory Siloing:** Employs AST-based interface extraction and "Context Amnesia" to provide workers only with the absolute minimum context required, preventing hallucination loops.
- **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.
- **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
- **In-Depth Toolset Access:** MCP-like file exploration, URL fetching, search, and dynamic context aggregation embedded within a multi-viewport Dear PyGui/ImGui interface.
- **Integrated Workspace:** A consolidated Hub-based layout (Context, AI Settings, Discussion, Operations) designed for expert multi-monitor workflows.
- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode.
- **Performance Diagnostics:** Built-in telemetry for FPS, Frame Time, and CPU usage, with a dedicated Diagnostics Panel and AI API hooks for performance analysis.
- **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.
- **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).
- **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.