AI has changed how software is written, but not always how it is designed. This seminar presents a specification-first approach that restores control, traceability, and architectural clarity when working with AI-powered tools and agentic IDEs such as Kiro.
From Prompting to Specification-First Engineering
Most AI coding workflows rely on prompts and rapid iteration, which often produce unstable and hard-to-govern systems. This seminar explains why prompt-driven development breaks at scale and how specification-driven practices create repeatability, alignment, and measurable engineering discipline.
Working Effectively with Kiro IDE Agents
Traceability, Control, and Repeatable Outcomes
Specification artifacts are treated as executable anchors for both humans and AI. You will learn how structured specs improve traceability, reduce architectural drift, and enable repeatable delivery — even when multiple agents and AI tools participate in implementation.
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