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The author argues that while AI models like Claude are brilliant at solving problems, they remain inherently imprecise and non-deterministic, leading to mistakes like accidentally committing build directories. Rather than relying solely on AI for coding tasks, the solution is to sandwich AI capabilities between deterministic tools and formal workflows that constrain its behavior, allow self-correction, and gradually automate away repetitive failures. Beagle SCM demonstrates this approach by enabling LLMs to script their own JavaScript routines within a system where heavy lifting is handled by reliable C code and formal processes.
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