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One Line of Code That Can 10× Your Agent Costs: KV-Cache-Friendly Agent Design
Agents running slow and expensive? The problem often lies in a broken KV Cache. This article starts with the fundamentals of KV Cache and lays out three golden rules: keep system prompts and tool definitions byte-level fixed, always append dynamic information to the end, and use standard API formats instead of hand-crafting your own. Using Qwen3, DeepSeek, and Claude as examples, it analyzes how different models differ in chain-of-thought feedback and what cache killers to watch out for, helping you build cache observability so that both first-token latency and your bill go down.
Welcome to the Yatu Tech Blog
New tech blog section with articles on AI, programming and dev tools. This post demonstrates code highlighting and typography.