This article explains how prompt caching in Claude Code can significantly reduce token usage and costs for long coding sessions. By reusing stable prefixes of system instructions, tool definitions, and conversation history, Claude Code avoids reprocessing them at full input-token rates. The author emphasizes that prompt caching is based on exact prefix matching and that cache reads are billed at a lower rate than standard input tokens, making efficient sessions economical even with large nominal contexts. The key to optimization lies in maintaining a stable, relevant prefix with a high reuse rate, rather than simply maximizing context size. AI
IMPACT Optimizes cost and efficiency for users of large language models in coding applications.
RANK_REASON Article details a specific feature and optimization strategy for an existing product, not a new release or major industry shift.
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