THE AI-DLC HANDBOOK
Reimagining software development with AI
A practical guide to the AI-Driven Development Lifecycle (AI-DLC) — how AI and humans can work together through every phase of the build, without losing control of quality, clarity, or outcomes.
Also available on Notion Press and Amazon.com
What is the AI-Driven Development Lifecycle?
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.
Key concepts covered:
- AI-native rituals and continuous flow
- Real-world case studies
- Predictable outcomes with human control
- Easy adoption strategies
AI-DLC Academy
Industry-led AI education for college students across India
A structured value-added course: 5 hours of theory, 15+ hours of hands-on labs, champion delivery, and a verified digital badge — all free for enrolled students.
How it works
Get Enrolled
Your college SPOC shares an enrollment link. Fill in your details — first come, first served, capped at 50 per batch.
Attend & Build
5 hours of theory + 15+ hours of hands-on labs, delivered by an AI-DLC Champion at your campus.
Submit Your Report
Write your original learning report and submit via the Academy portal. AI-content detection runs automatically.
Earn Your Badge
Score 70+ and receive the AI-DLC Student Certified digital badge — a verifiable credential you can share on LinkedIn.
Industry experts and educators who deliver the AI-DLC course at partner colleges. Apply to become one.
Partner colleges get a dedicated SPOC, a batch enrollment link, and full backend support from the Academy.
Enroll through your college batch. Complete labs, submit your report, and earn a verified digital credential.
Sign in with Google to access the full Academy platform
Who is this book for?
Software Engineers
For engineers who want to integrate AI into daily development work without losing control over design and quality.
Tech Leads & Architects
Platform engineers and architects looking to guide teams through AI-driven development practices.
AI/ML Practitioners
AI practitioners working with development teams to implement practical AI-driven workflows.
Engineering Managers
Engineering managers and delivery leaders seeking to understand and adopt AI-enhanced development processes.
What you'll learn
Understanding the AI-DLC stages and continuous flow
Using AI for task decomposition, planning, and code generation
Working with AI in refactoring and validation processes
Navigating legacy systems vs. greenfield builds
Designing AI-native rituals like mob elaboration and mob construction
Maintaining human control while leveraging AI capabilities
Implementing predictable outcomes with quality assurance
Inside the book
Foundations of AI-DLC
Core concepts and methodology
AI-Native Rituals in Practice
Practical implementation patterns
Case Studies and Patterns
Real-world applications and examples
What You'll Get
A comprehensive guide to implementing AI-driven development practices with practical examples, real-world patterns, and actionable strategies for both new and existing projects.
About the author
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, she led the winning team at the Road to re:Invent Hackathon, a global, high-stakes build-on-the-move challenge, securing the championship title and a $100,000 prize. 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.