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Developers Race to Cut AI Token Costs With Three Open-Source Tools

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As AI coding agents become central to software development, token consumption has replaced cloud compute as the primary cost concern among engineers. Three open-source repositories — rtk, caveman, and superpowers — have gained attention in the developer community for tackling token efficiency from distinct angles. Each tool targets a different layer of the problem: reducing input size, trimming output, and caching repeated work to avoid redundant charges. The shift reflects a broader change in how AI costs are measured, moving from API call volume to granular token-level accounting. Developers are now optimizing everything from file reads to conversational phrasing in pursuit of leaner, cheaper AI workflows.

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