The article explains the 'effort' parameter in Claude, which controls how deeply the model processes a request before responding. This parameter allows users to adjust the model's thinking time and resource usage, impacting both cost and response quality. It details five levels of effort—low, medium, high, xhigh, and max—along with a bonus 'ultracode' level available in Claude Code, providing guidance on when to use each to optimize performance and cost-effectiveness. AI
IMPACT Provides users with a method to fine-tune AI model performance and cost by adjusting processing depth.
RANK_REASON The article is a tutorial explaining a specific parameter within an existing AI product, not a new product release or significant industry development.
Read on dev.to — Claude Code tag →
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