LibraryDesignBench: agents replicate human library abstractions in 11 of 15 tasks but underuse them
uw-madison · hf · 2026-10-01
LibraryDesignBench tests how well agents design code libraries for other agents: a designer agent implements a library from a spec, and three user agents from different model families write programs against it, scored on correctness and simplicity. Across 242 expert-validated problems in 4 languages, agent designers reproduce human-written library abstractions on 11 of 15 tasks. Downstream agents adopt these libraries but frequently reimplement existing capabilities — mainly because agent-written libraries are rigid, not incomplete. Agent-first guidance and subagent testing improve downstream reuse.
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