
The Decoder: Anthropic's Claude now writes code and proves it safe automatically
Anthropic had Claude generate mathematical proofs that existing code is correct, producing roughly 180 million lines of proof code for 123 open-source libraries. Along the way, the model caught bugs that years of testing had missed. Anthropic's goal: making formal verification with AI as routine as standard testing. The article Anthropic's Claude now writes code and proves it safe automatically appeared first on The Decoder.
Formal verification is a mathematically rigorous way to prove that software works correctly under all circumstances, but it has historically been too expensive and time-consuming to use regularly. An AI model was used to automatically generate mathematical proofs for existing code from open-source libraries, producing 180 million lines of proof code in a few weeks and discovering hundreds of bugs that conventional testing had missed. The proofs only guarantee correctness under specific conditions like particular processor architectures and single-threaded programs, so they do not mean software is completely error-free in real-world use. If AI can reliably verify the safety of code it generates, developers could trust AI-generated software more and spend less time reviewing it, potentially transforming how software is created and tested.
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