This article discusses the necessity of formal specifications in AI to improve enterprise systems, suggesting a shift from informal methods.
This article introduces spec-driven AI development—a paradigm that brings rigorous specification practices to machine learning systems—and argues for its necessity in enterprise contexts. Drawing on 14 years in software engineering and 7 years specializing in enterprise AI, the article explores the historical evolution from traditional software specifications to AI-specific formal methods, articulates core principles of the spec-first approach, and compares it with prevailing ad-hoc and experiment-driven methodologies.
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Oleh Ivchenko (2026) studied this question.
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