Scribe Scaling

Advanced scaling optimizations for handling large repositories (10k-100k+ files) efficiently. This crate implements progressive loading, intelligent caching, parallel processing, and adaptive threshold management for optimal performance at scale.

Core Features

• Progressive Loading: Metadata-first streaming architecture that avoids loading all files into memory
• Intelligent Caching: Persistent caching with signature-based invalidation
• Parallel Processing: Async/parallel pipeline with backpressure management
• Dynamic Thresholds: Repository-aware adaptive configuration
• Advanced Signatures: Multi-level signature extraction with budget pressure adaptation
• Repository Profiling: Automatic detection of repo type and optimal configuration

Performance Targets

• Small repos (≤1k files): <1s selection, <50MB memory
• Medium repos (1k-10k files): <5s selection, <200MB memory
• Large repos (10k-100k files): <15s selection, <1GB memory
• Enterprise repos (100k+ files): <30s selection, <2GB memory

Architecture

The scaling system is built around a streaming, metadata-first approach:

Repository Discovery → Metadata Stream → Filtered Stream → Analysis Pipeline → Selection
      ↓                     ↓                ↓                   ↓             ↓
  Fast scanning      Lightweight load    Smart filtering   Parallel work   Optimized result