AWS User Group-Bengaluru

Book Launch & Workshop: The AI‑DLC Handbook

Sat, Mar 7 · 9:00 AM IST

Amazon Development Center, Aquila, Bagmane Constellation Business Park Block-7, Bagmane Constellation Service Rd, Ferns City, Doddanekkundi, Bengaluru, Karnataka 5, Bangalore, IN

# 📖 Event Description

​​Artificial Intelligence is reshaping how software is built—but most development lifecycles have not evolved to reflect this shift.
​​
Registration link : https://luma.com/l2re11zy
Note: Luma registration will be consider as actual registration.

Join us at the AWS Office, Bengaluru for the official launch of
📘 The AI‑DLC Handbook: Reimagining Software Development with AI
by Bhuvaneswari Subramani, AWS Hero, AWS Ambassador, and Google Women Techmakers Ambassador.
​​The event will begin with a book launch announcement by Raja SP, followed by a panel discussion with industry leaders on how AI‑Driven Development Lifecycle (AI‑DLC) is changing the way teams design, build, and maintain software systems.
​​AI‑DLC reimagines traditional SDLC by bringing humans and AI into a single, continuous flow—where AI actively participates across planning, coding, testing, and validation, while humans remain accountable for direction, quality, and decision‑making.
​​In addition to the launch and panel discussion, attendees will have the opportunity to:

• ​​Interact with the author during a book signing and meet‑and‑greet
• ​​Participate in a hands‑on workshop on AI‑DLC, focused on practical adoption and real‑world workflows by AWS experts and AWS Heroes

​​This event is designed to be practical, experience‑driven, and community‑focused, emphasizing responsible and human‑led AI adoption in modern software engineering.

# ​​🎯 Who Should Attend

• ​​Software Engineers & Tech Leads
• ​​Cloud & Platform Architects
• ​​AI / ML Engineers
• ​​DevOps & MLOps Practitioners
• ​​Engineering Managers
• ​​Women in Tech
• ​​Students and early‑career developers interested in AI‑native development

# ​​✅ What You’ll Take Away

• ​​Insights into AI‑DLC from industry practitioners and leaders
• ​​Real‑world perspectives on adopting AI responsibly in engineering teams
• ​​A clear understanding of how AI changes roles, workflows, and ownership
• ​​Practical experience through a hands‑on AI‑DLC workshop
• ​​An opportunity to engage directly with the author and community

# ​​🗂 Tentative Agenda

• ​​Welcome & Community Introduction (5 mins)
• ​AWS Quiz with Prizes (15 mins)
• ​​Panel Discussion: (20 mins)
• ​​AI‑Driven Development Lifecycle – Industry Perspectives & Lessons Learned
• ​Audience Q & A
• ​**Book launch by Raja SP (**10 mins)
• ​​Book signing & interaction with the Author, Bhuvana
• ​**< Tea Break > (30 mins)**
• ​​Hands‑On Workshop: Applying AI‑DLC in Real Projects by AWS experts and AWS Heroes (90 mins)
• ​Stay tuned for more details
• ​​Lunch & Networking

## ​​👨‍💼 Speaker Bio: Raja SP


​​Raja comes with 25+ years of mission critical systems development experience, has successfully founded and led two startups and has been an integral part of AWS leadership for the past 6 years. He has led analytics & machine learning teams in AWS and is currently the Head of Developer Acceleration for APJ. He has been closely involved in shaping and advancing AI‑Driven Development Lifecycle (AI‑DLC) initiatives along with Anupam Mishra, Adrian De Luca & Ben Cabbanas.

# ​​👩‍💻 Author Bio


​​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 helps engineering teams adopt 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, securing the championship title and a $100,000 prize.
​​She is a respected speaker, blogger, and the author of The AI‑DLC Handbook, focused on enabling teams to build reliable, AI‑native systems while keeping humans firmly in control.