19 latency patterns for faster AI apps: locality, work reduction, concurrency, anticipation
bibryam · x · 2026-10-25
A long-form guide maps 19 distributed-systems patterns for cutting non-model latency in AI applications across four categories—locality (caching, replication, partitioning), work reduction, concurrent execution (hedged requests, progressive response), and anticipation (speculative execution, prewarming). Key argument: an agentic request crosses RAG, databases, gateways, LLMs, MCP servers, and orchestration loops—measure the full path as a distribution and optimize whatever dominates your target percentile.
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