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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Initially, I used Packer to generate a virtual machine image, which I would then clone onto the disk of the machine I wanted to configure. It worked very well for server templates, but for a dev machine, it was a bit of a patchwork solution. On top of that, I decided to look for a Packer alternative because of Hashicorp’s licensing changes (a decision I still struggle to accept!).
问题是时代的声音。迈上全面建设社会主义现代化国家新征程，我国人口发展也进入一个新的时期。