Category: Spec-Driven AI Development

📚 Academic Citation: Ivchenko, O. (2026). The Spec-Driven AI Toolchain: From Specification to Deployment. Spec-Driven AI Development Series. Odessa National Polytechnic University. DOI: 10.5281/zenodo.18820121 Abstract The transition from specification-centric development to deployed AI systems requires a comprehensive toolchain that bridges the gap between formal requirements and operational machine learning models. This article examines the current…

📚 Academic Citation: Ivchenko, O. (2026). Formal Specification Economics: Measuring ROI of Spec Investment. Spec-Driven AI Development Series. Odesa National Polytechnic University. DOI: 10.5281/zenodo.18818355 Abstract Formal specification practices in AI system development represent a significant upfront investment that enterprises must justify economically. This article presents a rigorous framework for measuring the return on investment (ROI)…

📚 Academic Citation: Ivchenko, O. (2026). Architecting Spec-Compliant AI Systems: Patterns and Anti-Patterns. Spec-Driven AI Development. Odesa National Polytechnic University. DOI: 10.5281/zenodo.18746101 Abstract The integration of artificial intelligence into enterprise systems demands rigorous architectural approaches that ensure reliability, maintainability, and compliance with specifications. This article explores architectural patterns that support spec-driven development of AI systems,…

📚 Academic Citation: Ivchenko, O. (2026). Predicting Armed Conflict Probability: A Multi-Factor Machine Learning Approach. Spec-Driven AI Development Series. Odessa National Polytechnic University. DOI: 10.5281/zenodo.18735965 Abstract Armed conflict prediction represents one of the most critical challenges in computational social science and international relations. This paper presents a multi-factor machine learning approach to predicting armed conflict…

📚 Academic Citation: Ivchenko, O. (2026). Development Paradigms Compared: Spec-Driven, Experiment-Driven, and Hybrid Approaches to AI System Development. Spec-Driven AI Development Series. Odessa National Polytechnic University. DOI: 10.5281/zenodo.18741619 Abstract The development of AI systems presents unique challenges that traditional software engineering paradigms struggle to address. This article provides a comprehensive comparative analysis of four major…

Capturing AI Requirements: Beyond Functional Specifications Capturing AI Requirements: Beyond Functional Specifications Author: Oleh Ivchenko Series: Spec-Driven AI Development Abstract Traditional requirements engineering approaches, developed for deterministic software systems, prove inadequate when applied to AI systems characterized by learning, uncertainty, and emergent behavior. This article examines the unique challenges of capturing requirements for AI systems…

📚 Academic Citation: Ivchenko, O. (2026). Specification Languages for AI: From Natural Language to Formal Methods. Spec-Driven AI Development Series. Odessa National Polytechnic University. DOI: 10.5281/zenodo.18684610 Abstract Artificial intelligence systems present a fundamental specification challenge: how do we precisely describe what a learning system should do when its behaviour emerges from data rather than explicit…

📚 Academic Citation: Oleh Ivchenko. (2026). The Spec-First Revolution: Why Enterprise AI Needs Formal Specifications. Spec-Driven AI Development Series. Odessa National Polytechnic University. DOI: 10.5281/zenodo.18666032 Abstract The rapid adoption of artificial intelligence in enterprise systems has revealed a critical gap between traditional software engineering practices and AI development methodologies. While conventional software development has long…