2026
3 篇文章用 Amazon Bedrock prompt caching 把重複的 context 成本壓低 90%
Amazon Bedrock 的 prompt caching 讓重複輸入的 token 成本最多降 90%，同時縮短首字延遲，適合多輪問答與 agent 工作流。
閱讀文章 ↗Claude 5 世代上下文工程新規則：系統提示砍八成
Anthropic 於 7 月 24 日發表 Claude 5 世代模型的上下文工程指南：Claude Code 系統提示砍掉逾 80%，六組新舊做法對照，並更新 CLAUDE.md、Skills 與 /doctor 的建議。
閱讀文章 ↗GPT-5.6 Prompt 寫法：少寫一點，結果反而更好
把 OpenAI 官方 GPT-5.6 Sol prompting guidance 整理成繁中實戰指南：意圖理解與精簡機制、三層授權邊界、工具路由與停止條件、PTC 判準，以及 migration 順序與模型家族速覽。
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2026
3 ARTICLESPrompt Caching on Bedrock: Where the 90% Input Savings Actually Come From
Amazon Bedrock prompt caching cuts repeated-context input costs up to 90% and lowers TTFT, but only if you place cache points and TTLs deliberately.
READ POST ↗Anthropic's New Context Engineering Rules for Claude 5
Anthropic cut over 80% of Claude Code's system prompt for Claude 5 models with no measurable eval loss, and rewrote its context engineering guidance.
READ POST ↗GPT-5.6 Prompting: Less Writing, Better Results
A hands-on field guide to OpenAI's GPT-5.6 Sol prompting guidance: why shorter prompts work better, three-tier authorization boundaries, tool routing with stop conditions, and PTC criteria.
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