Prompt caching sounds like an obvious win on paper. Every AI engineer learns it as a best practice: cache repeated system prompts, store frequently used context, cut token costs and lower latency. Almost every LLM framework ships built‑in caching utilities, and many developers enable them by de...
Source: [Dev.to](https://dev.to/buildpilots/how-over-optimized-prompt-caching-kills-real-world-llm-application-performance-acm)