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Verification Discipline: A Framework for Catching AI Coding Hallucinations

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Software engineer Jack Figliomeni, writing from Saratoga Springs, NY in September 2026, argues that as AI-assisted 'vibe coding' becomes mainstream, the critical skill is no longer generating code but rigorously verifying it. Large language models frequently fabricate APIs, invent dependencies, and silently violate requirements while producing output that appears fluent and confident. Figliomeni introduces 'Verification Discipline' as a distinct, learnable engineering capability for anticipating, detecting, and correcting these AI-generated code failures. A METR randomized controlled trial reinforces the urgency, finding that experienced developers using AI tools took 19% longer on tasks, yet incorrectly believed they had worked 20% faster. The paper draws on hallucination classification research, AI package security studies, and productivity data to present a practical iterative framework for governing AI-written code before errors reach production.

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