Testing and proof are complementary. Testing, including property-based testing and fuzzing, is powerful: it catches bugs quickly, cheaply, and often in surprising ways. But testing provides confidence. Proof provides a guarantee. The difference matters, and it is hard to quantify how high the confidence from testing actually is. Software can be accompanied by proofs of its correctness, proofs that a machine checks mechanically, with no room for error. When AI makes proof cheap, it becomes the stronger path: one proof covers every possible input, every edge case, every interleaving. A verified cryptographic library is not better engineering. It is a mathematical guarantee.
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我当了30年文学刊物编辑，见过许多憋着劲儿要“一鸣惊人”、结果连第一段都画不上句号的作者。写作面对的最狠的敌人是什么？不是文笔差，不是没想法，而是那个在你耳边嘀咕“这不行、那不够”的完美主义小鬼。它让你写了三句删两句，让你总觉得这句、这段“没写好”，最后留下一个完不成的“作品”，或者什么也没留下。