Prompt Caching Is an Architectural Pattern, Not a Cost Optimization
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Prompt Caching Is an Architectural Pattern, Not a Cost Optimization One question I ask during almost every AI architecture review is surprisingly simple: What part of this prompt actually changes between requests? Most of the time, the answer is "almost nothing." The system prompt is identical. Tool definitions are identical. Business rules don't change. Product catalogs remain the same. Even in RAG applications, much of the retrieved context is often reused across multiple agent steps. Yet…
1Key Takeaways
- Prompt Caching Is an Architectural Pattern, Not a Cost Optimization One question I ask during almost every AI architecture review is surprisingly simple: What part of this prompt actually changes between requests?
- Most of the time, the answer is "almost nothing." The system prompt is identical.
- Even in RAG applications, much of the retrieved context is often reused across multiple agent steps.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that prompt Caching Is an Architectural Pattern, Not a Cost Optimization One question I ask during almost every AI architecture review is surprisingly simple: What part of this prompt actually changes between requests?
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