At the Lean FRO, Kim Morrison, a Senior Research Software Engineer, recently ran an experiment that went well beyond our expectations. An AI agent converted zlib, a widely used C compression library embedded in countless systems, to Lean, with minimal human guidance. No special tooling was built. It was Claude, a general-purpose AI, with no special training for theorem proving, out of the box. The workflow had four steps. First, the AI produced a clean, readable Lean implementation of the zlib compression format, including the DEFLATE algorithm at its core. Second, the Lean version passed the library’s existing test suite, confirming behavioral equivalence. Third, key properties were stated and proved, not as tests, but as mathematical theorems. The capstone theorem:
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以营业收入规模为分界线，我们统计了不同营收规模企业的区间分布及研发强度情况。整体而言，企业规模分布呈橄榄球状，“两端小中间大”。营收在十亿元级的企业数量最多（2904家），构成了最丰满的“腹部”；其次是亿元级（1979家）和百亿元级（773家）的企业。
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