Skliar Serhii

    Skliar Serhii

    English

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    Who Is Skliar Serhii?

    Skliar Serhii is a seasoned software engineer and technical educator dedicated to bridging the gap between rapid prototyping and production-grade artificial intelligence systems. With a strong foundation in modern software architecture, Skliar has witnessed firsthand the evolution of coding practices from speculative, ad-hoc "vibe-coding" to structured, spec-driven engineering methodologies. His teaching philosophy centers on systematic design, rigor, and the strategic integration of AI tools within the development lifecycle. Instead of relying on guesswork, Skliar advocates for precise specifications, robust testing frameworks, and clear architectural boundaries to build predictable, scalable AI applications. Through his course, "Spec-Driven Development: From Vibe-Coding to AI…

    Overview of Skliar Serhii

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    Skliar Serhii's Programs

    Spec-Driven Development: From Vibe-Coding to AI Engineering bannerHighest rated

    Spec-Driven Development: From Vibe-Coding to AI Engineering

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    In the rapidly evolving landscape of AI-assisted software engineering, many developers fall into the common trap of 'vibe-coding'—relying entirely on raw, unstructured prompts and hoping that large language models will output stable, functional code. This course, 'Spec-Driven Development: From Vibe-Coding to AI Engineering' created by Skliar Serhii, offers a rigorous, highly structured antidote to this unpredictable approach. Designed for software developers, technical product managers, and systems architects, the curriculum guides you through establishing a repeatable, professional Spec-Driven Development (SDD) workflow. Students will learn to construct machine-interpretable requirements using the structured EARS framework, formulate precise project constitutions, and implement three-tier boundaries for autonomous AI agents. By utilizing human-in-the-loop verification gates and test-driven specifications, you can steer complex AI processes with absolute predictability. This shift from ad-hoc prompt engineering to deterministic spec engineering ensures that your codebase remains clean, reliable, and immune to drift, turning modern generative AI tools into dependable, scalable engineering assets.

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    Skliar utilizes a highly structured, methodology-driven approach to teaching. He focuses on deconstructing complex software engineering concepts into clear, actionable steps, moving students away from trial-and-error approaches and guiding them toward deterministic, spec-driven development through real-world scenarios.