Table of Contents
- The Mental Model
- Core Concepts (MVC, context rot, semantic priming, ghost tokens)
- Output Compression: CLI & Tool Output (RTK, Headroom, pxpipe, tilth, Token Savior, context-mode, stacklit, Cloudflare Code Mode MCP)
- Prompt Compression (LLMLingua, Selective Context, AutoCompressors/Gisting, RECOMP, AttnComp, TOON)
- AI Gateways
- RAG Optimization
- Memory Systems
- KV Cache Infrastructure
- LLMOps & Observability
- Tool Selection by Use Case
- Research Landscape