Integrating a Remarks Analysis Engine into LLVM Advisor

This project aims to upgrade the llvm-advisor diagnostic tool into a scalable, active analysis workbench for massive workloads. The implementation restructures the underlying data layer with a high-performance, dual-path ingestion pipeline, primary path being native C++ libRemarks bitstream decoding to process massive LTO builds without memory exhaustion, and the fallback path is YAML ingestion pipeline. It also implements a dependency-free Vanilla JS virtualization grid and injecting "Active Diagnostic" modules (like heuristic hinting and spatial heatmaps) directly into the existing Code Explorer DOM. This provides LLVM developers with bottleneck triage and actionable C++ refactoring advice while still maintaining the tool's lightweight, offline-first design.