A recent article discusses how to manage long agent sessions with AI models like Claude Code, emphasizing that sessions should be treated as temporary scratch space rather than persistent storage for work. The author explains that each turn in an agent session resends the entire conversation history, and prompt caching, while reducing costs, is only effective while the cache is warm. Strategies like using a "handoff file" before ending a session or starting a new one from a file are recommended to avoid high costs associated with reprocessed contexts after cache expiration. The article details pricing differences for prompt caching on models like Claude Opus 5.5 and Sonnet 5.5, as well as OpenAI's GPT-5.6 and GPT-6.1 Sol, highlighting how cache lifetime impacts costs significantly. AI
IMPACT Provides guidance on optimizing the use of AI agent sessions to manage costs and efficiency.
RANK_REASON Article discusses best practices for using existing AI models and their features, rather than announcing a new release or significant industry event.
Read on dev.to — Claude Code tag →
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