"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Artificial intelligence (AI) is reshaping everyday development work. AI-Driven Development Lifecycle (AI-DLC), invented and open-sourced by Amazon Web Services (AWS) in 2025, is a methodology in which AI takes part in each phase of the build while humans shape direction, review outcomes, and guide quality. Traditional SDLC depends on staged handoffs while AI-DLC brings humans and AI into one continuous flow.
This book explains that shift in a simple and practical way. The AI-DLC approach shows how intent moves through stages and AI-Native rituals like Mob elaboration and mob construction for both brownfield and greenfield projects. Readers see how AI supports task decomposition, planning, code generation, refactoring, and validation in a way that reduces friction and improves flow. Two case studies outline how teams navigate legacy constraints and fresh builds, giving developers a close look at real-world decisions, prompt work, architecture choices, and review steps. The focus stays on easy adoption, predictable outcomes, and strong human judgment. Developers gain a grounded path to build reliable systems with speed, clarity, and confidence while staying fully in control of their work.
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Bhuvaneswari Subramani
Bhuvaneswari Subramani is a visionary technology leader specializing in cloud engineering, AI-driven transformation, and modernization. With over two decades of experience across multi-cloud architectures, she guides engineering teams in agentic AI, generative AI, intelligent automation, and cloud-native platform design.
Recognized as an AWS Hero, AWS Ambassador, and Google Women Techmakers Ambassador, she combines deep technical expertise with a strong focus on clarity, quality, and business value. In 2025, Bhuvana led the championship-winning team at the Road to re:Invent Hackathon, a global high-stakes innovation challenge. Her work spans architecture, strategy, product thinking, and hands-on engineering.
Bhuvana is also a respected blogger and speaker who simplifies complex ideas for teams adopting AI-native development.
