# Track Specification: GUI Performance Profiling & Optimization (gui_performance_profiling_20260307)

## Overview
Implement fine-grained performance profiling within the main ImGui rendering loop (`gui_2.py`) to ensure adherence to data-oriented and immediate mode heuristics. This track will provide visual diagnostics for high-overhead UI components, allowing developers to monitor and optimize render frame times.

## Core Requirements
1. **Instrumentation:** Inject `start_component()` and `end_component()` calls from the `PerformanceMonitor` API (`src/performance_monitor.py`) around identified high-overhead methods in `src/gui_2.py`.
2. **Diagnostics UI:** Expand the Diagnostics panel in `gui_2.py` to include a new table titled "Detailed Component Timings".
3. **Threshold Alerting:** Add visual threshold alerts (e.g., color highlighting) in the new Diagnostics table for any individual component whose execution time exceeds 10ms.
4. **Target Methods:**
   - `_render_log_management`
   - `_render_discussion_panel`
   - `_render_mma_dashboard`
   - `_gui_func` (as a global wrapper)

## Acceptance Criteria
- [ ] Profiling calls correctly wrap target methods.
- [ ] "Detailed Component Timings" table displays in Diagnostics panel.
- [ ] Timings update in real-time (every 0.5s or similar).
- [ ] Components exceeding 10ms are highlighted (e.g., Red).
- [ ] 1-space indentation maintained.
