深慢Shimmer 深慢Shimmer Many projects and addons exists to reduce the verbosity on standard bash / git /npm etc. Commands that agents pass regularly as tools to LLMs. (eg. rtk, headroom, lean-ctx). Tool output compression does yield good token savings. Though it can lead to increased turns - effectively nullifying the per turn token savings. This is the current topology. Are we going to see a class of products and libraries that structure o/p to what models want to see? Comments URL: https://news.ycombinator.com/item?i
The content identifies a specific technical bottleneck in agentic workflows—the inefficiency of human-readable CLI output for LLM processing—and suggests a shift toward machine-optimized interfaces.