ISBN: 9798903423651 - the ai-dlc handbook: reimagining software development with ai (9 risultati)

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Buch. Condizione: Neu. Neuware - 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.…

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…