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Research comparing programming languages for coding agents suggests dynamic languages like Clojure and J are more token-efficient than static languages like C and Rust, with some studies claiming 2-3x differences. However, these findings are based on trivial benchmark problems from sources like Rosetta Code, and the experimental designs have significant flaws—such as using overly simple tasks that don't reflect real-world complexity and methodological issues that skew results. More rigorous evaluation on realistic problems is needed to draw meaningful conclusions about which languages are actually best for coding agents.
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