Жизненный цикл разработки программного обеспечения с использованием искусственного интеллекта: почему традиционная разработка программного обеспечения ушла в прошлое — и ваш план по полной перестройке всего за 18 месяцев

Traditional software development is dying. This is your blueprint to lead what comes next. What if you could build software 5-10x faster—not by working harder, but by fundamentally changing how you build? What if your systems could learn, adapt, and evolve on their own? What if development costs became predictable and variable instead of fixed and spiraling? This isn't speculation. It's happening now. We're witnessing the biggest paradigm shift since waterfall to agile—except this one is faster, more disruptive, and carries higher stakes. Organizations that master AI-orchestrated development will dominate their industries. Those that don't will struggle to compete. This book is your complete guide to leading that transformation. The AI-Native Software Development Lifecycle delivers a comprehensive framework specifically for CTOs, VPs of Engineering, Software Architects, and Senior Developers ready to transform how their organizations build software. What You'll Master: This is not another book about AI "replacing" developers. It won't happen. And this isn't abstract theory about distant possibilities. This is a practical manual with actionable frameworks, detailed templates, and decision-making tools you can deploy immediately. No fluff. No hype. Just the blueprint you need. The window of opportunity is narrow. The gap between early adopters and traditional organizations is widening rapidly. Companies mastering AI-native development now are establishing advantages that late adopters will struggle to overcome. The question isn't whether your organization will transform—it's whether you'll lead the transformation or follow others who moved first. About the Author Andre is Head of Advanced Technology Solutions at WorkSafeBC and author of Blending with Dragons. With 30+ years in enterprise software development—including leading AI transformations in regulated industries—he writes from the practitioner's chair, not the theorist's desk. This is battle-tested guidance from someone who has done the work.