Ars Technica2Augment says its proprietary context engine cuts token usage by a third compared with Anthropic’s Claude Code, citing a Terminal‑Bench test that showed equal accuracy with 33% fewer tokens. The startup, which spent 18 months building retrieval and embedding models for large codebases, argues that not all retrieval systems are equal—differences in the underlying engine, not the model, drive performance gains. Anthropic, however, maintains Claude Code sees no measurable benefit from added semantic tools, highlighting a clash of evaluation methods.
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