40–90% fewer tokens on Claude Code via TokenOptimization (github.com)

Iterate.ai has announced a significant enhancement to Claude Code through its new TokenOptimization feature, which aims to reduce the number of tokens processed by the system. This optimization can save users between 40% to 90% in token consumption based on the content type—achieving an overall average reduction of approximately 75% on mixed workloads that include repetitive tool outputs like JSON, Bash, and log files. As a result, users can expect considerably lower costs and decreased context pressure within Claude's processing, as every text read or executed command inflates the token count for subsequent interactions. The technical implications of this improvement include an on-demand cache for tool results, which not only cuts down on redundant computation but also employs various compression techniques to minimize token usage effectively. The feature is fully integrated, requiring no configuration, and operates locally, ensuring that sensitive information, such as API keys and URLs, remains protected during the compression process. With organizations potentially saving thousands annually, this innovation positions Claude Code as a more efficient tool for developers working on resource-intensive tasks, thus bolstering its appeal in the AI/ML community.