LLM-Driven Client-Side Caching: A Hybrid Decision Architecture

Client-side caching is usually implemented as a storage optimization layer (TTL, SWR, invalidation rules). In practice it behaves like a decision system under uncertainty. Static strategies fail when data volatility is non-uniform across the same application. This leads to either stale UI or excessive network traffic. This article breaks down: why standard caching approaches plateau where ML improves the system where LLMs actually fit how to design a production-grade decision pipeline Problem: c