DEV Community: Bhuvaneswari Subramani

Why AI‑DLC Exists: Reimagining Software Development in an AI‑First World

Bhuvaneswari Subramani — Mon, 23 Feb 2026 05:57:26 +0000

Artificial Intelligence is no longer an occasional tool in software development. It has become a constant companion.
We use AI to generate code, write tests, refactor legacy systems, explore architectures, and accelerate delivery. Yet, in most organizations, the development lifecycle itself hasn't changed. We are still operating with assumptions made for a pre‑AI world.
This growing disconnect is what led me to think deeply about AI‑Driven Development Lifecycle (AI‑DLC), invented and open-sourced by Amazon Web Services in 2025 - and eventually to write The AI‑DLC Handbook.

The Problem: AI Everywhere, SDLC Unchanged

Traditional Software Development Lifecycle (SDLC) models are built around:
St

aged handoffs
Sequential approvals
Clear separation between "thinking" and "doing"
Predictable, human‑paced execution

AI breaks these assumptions.
With AI, intent can move into code almost instantly. Exploration, implementation, and validation blur into a continuous flow. When teams try to force AI‑powered development into old lifecycle models, friction shows up everywhere:

Quality becomes inconsistent
Ownership becomes unclear
Speed increases, but confidence drops

The issue isn't AI. The issue is that our lifecycle hasn't evolved.

AI‑DLC: AI‑Driven, Not AI‑Controlled

AI‑Driven Development Lifecycle (AI‑DLC) is not about replacing developers or handing control to machines.
It is built on one non‑negotiable principle:

AI may drive workflows, but humans remain responsible.

In AI‑DLC:

AI initiates and accelerates tasks
Humans set direction, validate correctness, manage risk, and make design decisions
Accountability never shifts away from the team

This balance matters.

AI is exceptionally strong at:

Task decomposition
Generating alternatives
Writing tests and boilerplate
Optimizing and refactoring workflows

Humans are essential for:

Architectural judgment
Business alignment
Risk assessment
Ethical and quality decisions

AI‑DLC exists to make this collaboration explicit, structured, and repeatable.

From Handoffs to Continuous Flow

One of the biggest shifts in AI‑DLC is moving away from staged handoffs toward a continuous intent‑to‑code flow.

Instead of "requirements → design → build → test" as separate phases, AI‑DLC encourages:

Continuous elaboration of intent
Parallel exploration and construction
Frequent validation loops

This is where AI‑native rituals such as mob elaboration and mob construction become powerful. They help teams think, build, and validate together - using AI as an active participant rather than a background tool.

The result is not just speed, but clarity.

Brownfield and Greenfield Reality

AI‑DLC is not designed only for greenfield projects.
In reality, most teams are dealing with:

Legacy constraints
Incomplete documentation
Hidden coupling
Production risk

AI‑DLC acknowledges this reality. It provides practical patterns for:

Navigating brownfield systems responsibly
Using AI to understand, refactor, and modernize existing codebases
Balancing experimentation with production safety

This grounded approach is critical. AI‑DLC is not about ideal scenarios - it's about how teams actually work.

Why I Wrote The AI‑DLC Handbook

This book wasn't written to introduce another framework for the sake of it.
It came from:

Working closely with engineering teams adopting AI
Seeing confusion around responsibility and quality
Watching speed increase while confidence declined
Having repeated conversations that started with, "We're using AI… but we're not sure how to structure this"

The AI‑DLC Handbook is my attempt to:

Put language around what's changing
Provide structure without rigidity
Help teams adopt AI without losing control

It focuses on easy adoption, predictable outcomes, and strong human judgment - because those are the things that matter when systems scale.

The Shift Is Already Happening

Whether we label it or not, AI‑DLC is already emerging in how teams work.
The real question is: Will we adopt it intentionally - or let it evolve accidentally?

Intentional adoption gives us:

Clear ownership
Strong quality gates
Responsible AI usage
Sustainable speed

That is the future I believe in - and the reason this work matters to me.

Join us for the book launch

The AI‑DLC Handbook will be launched on March 7 at the AWS Office, Bengaluru, in collaboration with AWS User Group Bengaluru. I'm deeply grateful to the AWS leaders, Intuitive.ai, and the broader AWS community for their continued support and shared learning.

Register here to join us!!
https://luma.com/l2re11zy

If you're building software in an AI‑first world, I hope this perspective helps you rethink not just your tools - but your lifecycle.

Thanks to my publisher Notion Press for all the support to in getting this up quickly!!

Bhuvana Subramani AWS Hero | AWS Ambassador | Google Women Techmakers Ambassador | Author, The AI‑DLC Handbook

Starting Your Journey into Generative AI: A Beginner's Guide

Bhuvaneswari Subramani — Tue, 06 Jan 2026 14:42:54 +0000

Situation: As a STEM student, when you are hearing more about Generative AI all around. Is that a buzzword which could be at a distance and not for you to bother? Or is it something which would help transform you while you are transitioning yourself as an Industry-ready engineer?

Inciting incident / Problem Statement: Engineering students are wondering where to get started with Generative AI to stand out from the crowd.

Undesired Outcomes: Searching for information all over the place and at times falling for misleading and exhaustive information.

Desired Outcomes:
• Bring relatable examples of how the mysteries of Generative AI prevail all over without a start and destination.
• Share specific courses they can take to learn and excel.
• Give a specific example of a problem statement and a solution we can solve with GenAI

Question:
• What is GenAI and what it can do (Here is a genai view)
• What are the possible learning materials for students
• What is the problem that you are trying to solve

Answer:
• Write about a few GenAI use-cases
• Share Learning materials - general concepts and aws specific
• Gen AI Solution for your problem statement

Actual blog starts from here

As an IT Professional or a STEM student, you've probably noticed the term "Generative AI" popping up more frequently. You might be wondering if it's just a trendy buzzword or if it could be a game-changer for your career.

In my recent discussions with leading university professors, students, and industry professionals, one question keeps surfacing:

"How can I dive into Generative AI to stand out from the crowd and propel my career forward?"

If you're eager to explore this cutting-edge field and carve your path to success, you're in the right place. Let's embark on this exciting journey together.

Let's look at Generative AI in five dimensions

Traverse the Generative AI evolution
Applications of Generative AI across various industries
- Your fav. Social Media is transforming with GenAI
- Virtual Photo Studio – Build your own photo album by AI
- Experience AI Image Generation
Discover the diverse career paths in Generative AI
Expand your knowledge and skills with Generative AI
- Large Language Model from Computer Scientist, Andrej Karpathy
- Generative AI from Data Scientist, Shaw Talebi
- Generative AI on Gartner
- Generative AI on AWS Cloud
Build & grow with Generative AI
- How do I contribute back to the GenAI Community?
- The AI community building the future
- Customize existing GenAI for your dataset

Traverse the Generative AI evolution

In the late 1950s, Andrey Markov's work on stochastic processes, specifically Markov chains, emerged as a statistical model capable of generating new sequences of data based on input. However, it was not until the 1990s and 2000s that machine learning truly began to shine, thanks to advancements in hardware and the increasing availability of digital data.

The evolution of Generative AI has been marked by a number of important breakthroughs that have each added a new chapter to its history.
Check out some pivotal moments that have reshaped the landscape of GenAI as depicted in the above image.

From the 1950s to 2022 is 7 decades. Comparatively, in recent years, the pace of evolution in Generative AI has been particularly rapid with advancements accelerating exponentially. The exact speed of advancement can vary based on specific breakthroughs and developments, but it's clear that the field has seen remarkable progress, especially in the last few years.

Gartner, the leading research and advisory company, substantiate the way forward with their forecast

Generative AI software spend will rise from 8% of AI software in 2023 to 35% by 2027.

That shows a clear prediction and direction for the Gennerative AI aspirants to focus on their journey. Read more from here

Applications of Generative AI across various industries

Generative AI (GenAI) has a wide range of applications globally across various industries

Your fav. Social Media is transforming with GenAI

Refer here for details

Virtual Photo Studio – Build your own photo by AI

The YouCam Makeup app offers the most amazing AI avatar feature that can help you generate 50 to 100 AI images with the themes you like, for example

Experience AI Image Generation

Generated below images for a given text (say "a boy and aunty sitting on a time machine") on Freepik Image generator

And many more stories to create music, summarize text, generate new content etc.

Understanding the various use cases of Generative AI can provide valuable insights into the potential career paths available in this field. Exploring how Generative AI is applied in different industries can help you envision the impact you could make as a future AI professional.

Discover the diverse career paths in Generative AI

Discover the diverse career paths in Generative AI and explore how this innovative field is shaping the future of technology. From creating lifelike virtual worlds to revolutionizing healthcare diagnostics, Generative AI offers a multitude of exciting opportunities for those passionate about pushing the boundaries of artificial intelligence. Whether you're interested in art, science, or technology, there's a rewarding career path waiting for you in Generative AI.

Machine Learning Engineer (Generative Models): Develop and deploy machine learning models, including generative models, for various applications.
Research Scientist (Generative AI): Conduct research to advance the field of Generative AI, develop new algorithms, and publish findings in academic journals.
AI/ML Software Developer (Generative Models): Develop software applications and systems that incorporate generative AI models for tasks such as image generation, text-to-speech, and more.
Data Scientist (Generative Modeling): Analyze and interpret complex data sets to develop and implement generative models for data synthesis and augmentation.
AI Research Engineer (Generative Models): Work on research projects to develop and improve generative models, often in collaboration with other researchers and engineers.
Deep Learning Engineer (Generative Models): Design, train, and deploy deep learning models, including generative models, for various applications in computer vision, natural language processing, and more.
Computer Vision Engineer (Generative Models): Develop computer vision algorithms and systems that incorporate generative models for tasks such as image synthesis and enhancement.
Natural Language Processing (NLP) Engineer (Generative Models): Develop NLP models that can generate human-like text, dialogue, and other language-based outputs.
AI Ethics Researcher (Generative AI): Explore the ethical implications of generative AI technologies and develop guidelines for responsible AI development and deployment.
AI Product Manager (Generative AI): Manage the development and deployment of AI products that incorporate generative AI technologies, working closely with engineering and research teams.
AI Security Specialist (Generative AI): Ensure the security and integrity of generative AI models and systems by identifying and mitigating potential security threats, implementing secure architecture, and ensuring compliance with data privacy regulations. They collaborate with AI developers, data scientists, and IT security teams to integrate security best practices into the development lifecycle of generative AI models. These are just a few examples, and the field of Generative AI is rapidly evolving, creating new job opportunities and titles along the way.

Having delved into the myriad use cases and abundant job opportunities within Generative AI, you might now be eager to embark on your learning journey into this fascinating field.

Expand your knowledge and skills with Generative AI

Allow me to guide you through various exploration opportunities at no cost, drawing insights from Andrej Karpathy, a Computer Scientist, Shaw Talebi, a Data Scientist and AI Educator, as well as Gartner, a prominent research and advisory firm, and AWS Cloud.

Large Language Model from Computer Scientist, Andrej Karpathy

The common man became curious about Generative after the public announcement of ChatGPT and since then, LLM and Generative AI are often confused.

What is the difference between LLM and Generative AI?

Large Language Models (LLMs) are a specific subset of Generative AI focused on understanding and generating human language, often used for tasks like text generation and translation. Generative AI, on the other hand, encompasses a broader range of AI techniques and applications beyond language, including the creation of images, music, and other types of content using artificial intelligence.

*Intro to LLM for Busy Bees *
Andrej Karpathy is a renowned computer scientist and AI researcher known for his work in deep learning and computer vision. He was former Director of AI at Tesla and was previously a Research Scientist at OpenAI. Karpathy is also an adjunct professor at Stanford University, where he teaches a course on Convolutional Neural Networks for Visual Recognition.

In his 1-hour video on Large Language Models (LLMs), Karpathy likely delves into the architecture, training, and applications of LLMs like GPT-3. He may discuss how these models have advanced natural language processing tasks and their implications for AI research and development. His insights are highly regarded in the AI community, making his video a valuable resource for those interested in learning about LLMs.

Generative AI from Data Scientist, Shaw Talebi

Shaw Talebi is a highly respected AI educator and data scientist known for his deep knowledge and passion for artificial intelligence. He is renowned for his ability to simplify complex concepts, making them accessible and engaging for students and professionals alike. Shaw's innovative teaching methods and hands-on approach inspire learners to explore the limitless possibilities of AI, making him a valuable asset to the field of education and AI research.
Get started with AI Educator and Data Scientist Shaw Talebi's Playlist on GenAI related courses right from LLM, create an LLM, fine-tune and much more in a 11 part series.

Large Language Models (LLMs) - YouTube

youtube.com

Generative AI on Gartner

Gartner is a leading research and advisory company known for providing valuable insights and strategic advice to businesses and IT professionals worldwide. With a focus on technology, Gartner helps organizations make informed decisions and navigate the complex landscape of digital transformation.

If you have more questions, Gartner can help you answer most of them here

With the above learnings, if you are excited to build conversational streaming user interfaces for your AI-powered applications, try your hands with the open-source library, Vercel AI SDK.

Generative AI on AWS Cloud

GenAI models operate on vast amounts of training data, requiring thousands of GPU hours for training and fine-tuning. Consequently, a profound understanding of public cloud providers is essential due to their scalable infrastructure, high-performance computing resources, and cost-effective pricing models.

Here you go with the whole gamut of course on AWS cloud which is absolutely free on AWS Skill Builder
[Note: You do not AWS Account to learn on AWS Skill Builder but you would AWS Account to explore Hands-On]

New to AWS Skill Builder, start your journey here
Getting started with AWS Cloud Essentials
Building Language models on AWS
Getting started with Amazon Bedrock

Build & grow with Generative AI

How do I contribute back to the GenAI Community?

After learning about the job opportunities, upskilling through the learning materials, you might be wondering how to strengthen your public profile in the field of Generative AI. Consider contributing to the GenAI community through sharing your knowledge, participating in open-source projects, or attending industry events. By actively engaging with the community, you can not only enhance your skills but also contribute to the advancement of Generative AI as a whole.

Here is how..

Imagine a Python developer starting their journey by learning the basics of the language, gradually mastering advanced concepts, and eventually showcasing their skills by sharing projects on GitHub. Similarly, a GenAI developer can begin by understanding the fundamentals of Generative AI, progressively honing their skills, and then contributing their customized or fine-tuned models to the larger community through platforms like Hugging Face.
Just as a Python developer learns through practice, experimentation, and collaboration, a GenAI developer can follow a similar path. They can start by experimenting with pre-trained models, fine-tuning them for specific tasks, and then sharing their insights and models with others. This not only helps them grow as developers but also contributes to the advancement of the Generative AI field as a whole.

The AI community building the future

You will have many questions like these

Where can one find existing Generative AI models to use and experiment with?
If you create or fine-tune your own Generative AI model, how can you effectively share it with others in the community?

You can do all of this on a platform where the machine learning community collaborates on models, datasets and applications.

Thats HuggingFace -> https://huggingface.co/

Hugging Face is a company and an open-source community known for its work in natural language processing (NLP) and AI. Hugging Face was founded in 2016, so as of 2024, the company is about 8 years old. They are particularly well-known for their development of Transformers, a popular open-source library for natural language processing. Hugging Face's Transformers library provides a simple and efficient way to use pre-trained models for various NLP tasks, such as text classification, translation, and text generation. They also offer a platform called the "Hugging Face Hub," where users can discover, share, and use pre-trained models and datasets for NLP tasks. Overall, Hugging Face has played a significant role in advancing the field of NLP and making state-of-the-art NLP models more accessible to developers and researchers.

Some information is not getting processed the way it is intended. right?
Hold!! let's simplify with a known example.

Customize existing GenAI for your dataset

Customizing, also technically called as Fine-tuning, a Generative AI model is like taking a pre-trained model and giving it some extra training on a specific task or dataset (say your university graduate program details). This helps the model get better at that particular task, making it more useful for real-world applications.

By now everyone knows/used OpenAI's ChatGPT.

Let's say you want to fine-tune the famous GPT-3 model from OpenAI and then commit it as a new model in the Hugging Face model hub. Here's a simplified example of how you might do that:

a. Clone the Model:
First, you would clone the GPT-3 model from the Hugging Face model hub using the 'transformers' library in Python:

from transformers import GPT3Model, GPT3Tokenizer

# Clone the GPT-3 model
model = GPT2Model.from_pretrained('gpt3')
tokenizer = GPT2Tokenizer.from_pretrained('gpt3')

b. Fine-tune the Model:
Next, you would fine-tune the GPT-3 model on your specific dataset.
Fine-Tuning Process:
Step 1: Obtain a dataset containing details of university graduate programs, including program names, descriptions, admission requirements, etc.
Step 2: Preprocess the dataset to format it appropriately for fine-tuning GPT-3.
Step 3: Use the Hugging Face transformers library to fine-tune the GPT-3 model on the graduate program dataset. You can use a simple text generation task to train the model to generate program descriptions or answer questions about the programs.
Step 4: Evaluate the fine-tuned model to ensure it performs well on the task.

For example, if you're working on a text generation task, you might fine-tune the model like this:

from transformers import Trainer, TrainingArguments

# Define your training arguments
training_args = TrainingArguments(
    per_device_train_batch_size=4,
    num_train_epochs=3,
    logging_dir='./logs',
)

# Define a Trainer for training the model
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=your_train_dataset,
    eval_dataset=your_eval_dataset,
)

# Fine-tune the model
trainer.train()

c. Commit the Model:
Once you've fine-tuned the model and are happy with its performance, you can commit it as a new model in the Hugging Face model hub using the 'push_to_hub' method:

# Commit the fine-tuned model to the Hugging Face model hub
trainer.model.push_to_hub('graduate-program-gpt3')

This will create a new repository on the Hugging Face model hub containing your fine-tuned GPT-3 model, which you can then share with others or use in your own projects.
Please note that this example is simplified for illustrative purposes and may require additional steps or modifications depending on your specific use case.

Come, and explore the exciting world of AI.

In conclusion, Generative AI offers a world of possibilities across industries, from healthcare to entertainment. The job opportunities in this field are diverse and promising, making it an exciting area for career growth. As you embark on your journey to learn and grow with Generative AI, remember to pay it forward by sharing your knowledge and contributing to the community. Take the first step today and explore the endless possibilities of Generative AI!

And most importantly, keep sharing your success stories with me on my LinkedIn. Your experiences and achievements inspire others in the Generative AI community and contribute to the collective growth and advancement of this exciting field.

Reflecting on 2025 Q1: Our Impact on the Tech Community

Bhuvaneswari Subramani — Mon, 24 Mar 2025 10:37:57 +0000

As I look back on the first quarter of 2025, I am filled with gratitude and pride for the incredible opportunities I've had to preside over various events as a chief guest or keynote speaker. These experiences have not only enriched my professional journey but also allowed me to contribute to the tech community or budding engineers in meaningful ways.

Honoring Women Leaders
One of the highlights was presiding over a function to honor 30+ women leaders. This event was a celebration of their achievements, resilience, and contributions to various fields. It was inspiring to see these remarkable women being recognized for their leadership and impact. Their stories of perseverance and success serve as a powerful reminder of the importance of diversity and inclusion in all sectors.

Thought Leadership for AI-DLC & Future of Developers:
I had the privilege of sharing my insights at the AI-DLC (AI Driven Development Lifecycle) and the Future of Developers to larger audiences. These platforms allowed me to discuss the evolving landscape of technology and the critical role developers play in shaping the future. Engaging with industry leaders and aspiring developers was a rewarding experience, as we explored innovative solutions and strategies to drive progress in the tech world.

Shaping the Future of Developers
Speaking at various industry conferences about "Shaping the Future of Developers" has been a cornerstone of my journey. These events provided a space to discuss emerging trends, best practices, and the skills needed to thrive in the ever-changing tech environment. The interactions and feedback from attendees have been invaluable, reinforcing the importance of continuous learning and adaptation.

Event Links
Here are the links to the events I participated in during January, February, and March 2025:

January 2025:

AWS reInvent 2024 re:Cap by AWSHeroes with AWS User Group Bengaluru

February 2025:

𝗦𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 launch with Jeff Barr, FB

March 2025:

Pupleathon with budding WomenInTech

Empowered women empower the world, KSRCT, Thiruchengode

AWS WomenInTech Day, IIT Delhi - Transforming the future of development with AWS

AWSheTechDay 2025, St.Josephs Engg, Chennai - Presented on Shaping the Future of Development

[Empower Women in Cloud], Cognizant, Coimbatore - (https://www.linkedin.com/posts/bhuvanas_iwd2025-keynote-panel-activity-7309589496063217665-_Gtf) - Organized the event and present on Shaping the future of Developers on AWS

Shaping the Future of Developers, Petrus, Coimbatore
Agentic AI - Self-Correcting RAG, Karpagam Deemed University, Coimbatore

I am grateful for the support and collaboration from various organizations and individuals who made these events possible. Together, we are shaping a brighter future for the tech community and beyond.

Resources
To support the developer's continued learning, I shared the following blogs:

AI-DLC Developer Environment Setup (Bhuvana): Read here
Domain-Driven Design in AI-Driven Era (Bhuvana): Read here
Future of Developers - What Will Change (Raja): Read here
DDD & Event Storming - Overcoming Common Misconceptions (Raja): Read here

Domain Driven Design in AI-Driven Era

Bhuvaneswari Subramani — Tue, 18 Feb 2025 16:24:45 +0000

From the very start of my career, I’ve been deeply involved in product development, beginning with building B2B sites and GIS & GPS-based desktop and web applications in the early 2000s. I then had the incredible opportunity to contribute to the development and scaling of Business Intelligence and Data Management solutions. My journey continued as I worked on ERP and CRM products, culminating in my role with Infor’s Supply Chain Product suite.
These rich experiences in product development, combined with my current role in premium engineering solution consulting at Intuitive.Cloud, have provided me with invaluable insights. Now, I am eager to leverage my expertise and thought leadership to re-examine Domain-Driven Design.
Gone are those days where only the hand-picked teams like core engineering team, product management team need to have deeper knowledge about the software development methodologies and others can have an overview.
While we are marching towards AI-Driven world, you will be leveraging AI’s ability in task decomposition, and decision-making processes, developers will be empowered to transcend traditional specialization silos such as infrastructure, front-end, back-end, DevOps, and security. Let’s call them as AI-Native Trailblazers and as a pre-cursor to the AI-Driven development, bringing the Domain Driven Design blog to the AI-Native Trailblazers to have a perspective to the software development methodology.

Domain Driven Design Definition

Let’s break down Domain-Driven Design (DDD) in a simple and intuitive way
Imagine you’re building a car rental service to automate the process of renting cars to customers. The product design would fit in to the below template (considering car rental scenario only).

Here are the key ideas:

1. Focus on the Core Domain: Identify the most important part of your application (the core domain) and give it the most attention.
Example: The core domain of a car rental service is renting cars to customers, so we focus on making this process efficient and effective.

2. Ubiquitous Language: Create a common language that everyone (Technical, Business, users) uses to describe the domain. It ensures that everyone has a clear and consistent understanding of the domain concepts.
Example: The common terms here are Vehicles, Customer, Payment

3. Bounded Contexts: Divide the application into distinct sections (bounded contexts), each with its own specific rules and responsibilities.
Example: In a car rental service, you can have separate bounded contexts for customer management, vehicle management, and rental processing.

4. Entities and Value Objects: Entities are the key objects in your domain. Entities are like customer entity have a unique Customer ID and Vehicle entity has unique Vehicle ID, while value objects are objects that describe some characteristics but don’t have a unique identity.
Objects that have a unique identity and lifecycle.
Example: a Customer entity has a unique customer ID.

5. Aggregates: Group related entities and value objects together to form aggregates, ensuring they work as a cohesive unit.
Aggregates are groups of related entities and value objects that are treated as a single unit.
Example: a Rental Agreement aggregate might include:
— The Customer who is renting the car.
— The Vehicle being rented.
— The Rental Period.
— The Payment Details.

6. Repositories: Create repositories to manage the storage and retrieval of aggregates. Think of these as city archives where important documents and records are kept.
Example: a Rental Agreement Repository would handle saving and retrieving rental agreements from the database.

7. Services: Services encapsulate the domain logic that does not fit naturally within an entity or value object and performs the operations that involve multiple entities or aggregates.
Example: a ReservationService handles the business logic for creating, updating, and canceling reservations.

8. Factories: Factories encapsulate the creation logic for complex objects to ensure that they are created correctly and creates instances of aggregates or entities, particularly when the creation process is complex.
Example: a ReservationFactory handle the creation of Reservation aggregates, ensuring all necessary components are correctly instantiated.
Let’s represent the bounded contexts, entities, value objects, aggregates and repository visually to get the mapping better.

High cohesion and Low coupling

I would like to introduce two new essential principles in Domain Driven Design, High cohesion and Low coupling, which helps to create a well-structured and maintainable domain model.

High Cohession in DDD: In DDD, high cohesion means that each part of the domain model (e.g., entities, value objects, aggregates) has a clear and focused responsibility.
Example: a Customer entity in a car rental system should only handle customer-related information and behavior.

Low Coupling in DDD: In DDD, low coupling means that different parts of the domain model interact with each other through well-defined interfaces, minimizing dependencies.
Example: the Reservation Management context in a car rental system is separate from the Customer Management context, and they interact through well-defined interfaces.

By adhering to the principles of high cohesion and low coupling, DDD helps create a robust and maintainable domain model that aligns closely with the business needs and processes.

Next steps after Domain Model is built

Once you have the core Domain Design in-place, you can Logic
After Domain Design,

Logical Design: To meet the non-functional requirements
Implementation: Where you start writing actual code based on the design and write unit tests.
Integration: Integrate different components and modules of the application to ensure that they work seamlessly and perform integration tests.
User Interface (UI) Development: Design the user interface based on the requirements and User Experience(UX) design, develop the front-end components and integrate them with back-end services.
Database Design and implementation: Design the databses schema based on the domain model, define tables, relationships, indexes and constraints. Create the database and implement the schema and pre-populate with initial dataset, as applicable.
Deployment: Prepare the Infrastructure as Code (IaC) including servers, cloud services, networking with firewall and deploy the application as Dev, Test and Prod environments. Ensure that all components are configured correctly.
Quality Assurance: Carry out Functional, Performance and Security testing to ensure that the application meets functional requirements, dynamic load and free from security vulnerabilities.
Monitoring and Maintenance: Setup the monitoring tools to track the application for its performance, availability and errors. Ensure that periodic updates with the bug fixes, improve performance and feature enhancements are sent to all applicable environments.
Documentation: Document the application, infrastructure code, architecture, design decisions and create user manuals and guides to help users understand how to use the application.

In summary, ‌by using Domain-Driven Design, you ensure that your application is well-organized, with clear boundaries and a shared understanding among everyone involved. In the AI-Driven era, where the AI-Native Trailblazer is going to work with AI-System to design, develop and deploy an end-end-end application. Hence having a deeper understanding of software development practices like Domain-Driven Design, makes it easier to manage complexity and build a robust, scalable system.

Connect with me on linkedin or Intuitive.Cloud to fast-track your product development with AI-Driven method, migration or modernization as brown-field or green-field customer in your journey to AWS Cloud.

✨#FutureofDevelopers #AIDLC

Join Us on the Journey to the Future of Developers

Bhuvaneswari Subramani — Sat, 08 Feb 2025 15:01:44 +0000

To get started with using AI-driven development, it’s crucial to have the foundational setup ready. This involves several key components that ensure your development environment is robust and scalable.

You need a reliable infrastructure (powerful, if need arises but not to get started) and the right tools in place.

The instructions here is to help you use Amazon EC2 as your development server and connect remotely via VS-Code from your personal computer. Later install and configure Amazon Q and Anthropic Claude’s Cline as your development partner. Please note that the below instructions talks about using Macbook Pro as your personal computer.

Why do we need to use EC2 as your development environment instead of personal computer?

Development environment is available anytime for you to access from anywhere and any tool.
Leverage high-end servers with GPUs as applicable to accelerate your development.
Benefit from enhanced collaboration and version control, ensuring seamless teamwork and efficient project management.

Instructions to setup VS-Code connecting to remote EC2

Create a Linux EC2 instance with the configuration of your choice in your AWS account and store your keyfile (futuredev.pem) file for connecting from your personal computer.
Edit the /Users/<username>/.ssh/config file to add the following section

Host <future-of-developers-ssh>
  HostName <ec2 dns name>.<region>.compute.amazonaws.com
  User ec2-user
  IdentityFile /Users/<username>/<path>/futuredev.pem

Ensure you have VS-Code is installed on your personal computer. If you have not installed already, you may follow the instructions here to install and configure VS-Code.
Install Remote-SSH Extensions on VS-Code to connect to your EC2 development server

Launch VS-Code, go to the search bar, click Show and Run Commands

A search bar would appear. Go and search for SSH and select Remote-SSH: Connect to Host. This will list all the available host names in /Users//.ssh/config file. Select the host name associated with your EC2 instance launched for your development server. In our example, it is future-of-developers-ssh

You might get a prompt indicating the incompatibility of your EC2 OS version but that can be ignored to start with [Note: From now on, you will see ssh:future-of-developers-ssh at the bottom right corner of the VS-Code IDE indicating that you are connected to your EC2 development server]

Now that you are connect to your EC2 development server and gained access to the root folder, you might get prompt to trust the authors of all files in the parent folder ‘home’. It's your own EC2 development server, hence feel free to choose trust the authors option to proceed further.

Once your VS-Code is ready and connected to the remote EC2 development server, next step is to have the right tooling in place to continue with the AI-Driven development.

I would like to branch that into two different ways — one with Cline from Anthropic Claude and the other with Amazon Q. Let’s see the instructions to setup and use them un VS-Code.

Instructions to use Amazon Q Developer

Go to Extensions in VS-Code, search for Amazon Q and Install

For your present AI-Driven development, choose Use for Free and continue.

Later proceed with AWS Builder ID authentication and you are set to start your software development conversation with Amazon Q

Instructions to use Anthropic Claude’s Cline

Ensure you have access to the Amazon Bedrock model by accepting the terms. In our demos, we will be using Anthropic Claude 3.5 Sonnet v2.0.
Warning: You will be billed in the AWS account you connected into for your Amazon Bedrock usage.
Go to Extensions in VS-Code, search for Cline and Install

When you are installing Cline extension, pay attention to the note that this installation is onto the remote SSH: future-of-developers-ssh.

You will find the highlighted Cline symbol on the VS-Code side bar. Click that the settings icon on the top right corner of Cline extension to configure Cline as in the below diagram.

Since you are going to use Amazon Bedrock for the demo,
— Choose AWS Bedrock in the API Provider
— Select the appropriate AWS region (say us-east-1) in this case.
— Leave AWS Access Key, AWS Secret Key and AWS Session Token blank as it will be picked from your .pem file added as a host
— Click Use cross-region inference checkbox
— Choose Anthropic Claude 3.5 Sonnet v2.0 model as in the image
— Pay attention to the model properties — especially max output tokens, input price and output price to be cognizant about the cost coming on your way
— Click Done to move forward

Before you start talking to Cline, check the following options to give green signal for Cline to Auto-approve: Read files and directories, Edit files, Execute safe commands and Use the browser in headless way
Leave the Max Requests to default value, 20 and set the execution mode in the bottom right corner to Plan

Now you are all set to use Cline environment for AI-Driven Development

Start working with Cline..
I asked my first prompt: My intention is to build a simple website for Rajee Subramani Public Charitable Trust. do not generate code yet but ask more questions to understand better.
You will see “No workspace detected. Please open Cline in a workspace to use checkpoints.”

To set the workspace, choose the file icon on the top right and click Open Folder. This takes you to /home/ec2-user/ , you may create folder and files as needed. Since the workspace is set, the “No Workspace detected warning…” disappears and you are set to chat with Cline to carry out your tasks.

The “429 Too many tokens” error occurs when there have been too many requests made to the API in a short period of time. This is a rate limiting mechanism to prevent overuse of the service.

To resolve this:

Wait a few minutes before making new requests Break down your tasks into smaller chunks
Avoid rapid successive requests
The error should resolve itself after a brief waiting period.

You are all set!!

Instructions to setup Cursor with Amazon Bedrock

If you have followed the above instructions to setup VS-Code and connect to the remote EC2 development server, then follow the same process for connecting Cursor with EC2 development server.

Cost Saving measures and Clean-up instructions

Ensure you have an automated scheduler to keep your EC2 development server On only during your core working hours
Terminate the EC2 development server if you no longer need it.

In summary, a robust and scalable development environment is of paramount importance for AI-driven development. By setting up a strong infrastructure, utilizing the right tools and frameworks, managing data effectively, fostering collaboration, and implementing CI/CD pipelines, you can create a solid foundation for successful AI projects.

✨#FutureofDevelopers #AIDLC

Shaping the future of Development

Bhuvaneswari Subramani — Sat, 08 Feb 2025 13:37:39 +0000

We are among the 28 million developers across the globe facing unprecedented changes in our profession, and many of us are unsure of how to navigate this evolving landscape.

Our AWS leaders, including Jeff Barr, Raja SP, and Anupam Mishra, are deeply thinking about navigating this uncertainty. I am fortunate to contribute to that thought leadership.

Here is my perspective of AI-Development method standing tall to shape the future of the developers (drawn inspiration from Raja SP’s original post — Persona of a Future Developer. Thanks to Raja SP for giving me the platform to share my thoughts and suggestions.)

1️⃣ AI Native Trailblazer: Future Developers will be naturally adept at AI, achieving far greater effectiveness than previous generations.

2️⃣ Business-Driven Coders: They will transform business ambitions into code, not just features.

3️⃣ Creative Iterators: Combining AI and creativity, they will iterate quickly, even in the face of ambiguity and complexity.

4️⃣ Versatile Integrators: They will seamlessly navigate and integrate across various domains like IaC, front-end, back-end, databases, DevOps, and security.

5️⃣ Continuous Flow: Thriving in a state of continuous flow, they will never need to leave their IDE for research, decision support, architecting, debugging, or any other workflow step.

As part of the AWS User Group Bengaluru event, happy to host Jeff Bar talk about “Future of Software Development”, Raja SP & Anupam Mishra on “Shaping the Future of Development” followed by AWS Team’s Amazon hands-on workshop.

Well, you have all heard and used plenty of AI Native services. If you would like to evolve into an ‘AI-Native Trailblazer’ who can achieve unprecedented productivity, iterate rapidly at the speed of judgment, and translate business ambitions directly into code, follow us to learn more on #FutureofDevelopers #AIDLC

Thank you, 2024

Bhuvaneswari Subramani — Tue, 31 Dec 2024 17:34:46 +0000

2024 𝐖𝐫𝐚𝐩-𝐔𝐩: 𝐓𝐢𝐦𝐞 𝐅𝐥𝐢𝐞𝐬

𝐓𝐢𝐦𝐞 𝐅𝐥𝐢𝐞𝐬..
Reflecting yet another incredible year (2024), at Intuitive.Cloud, where I had the privilege of working with amazing hashtag#customers, hashtag#partners, hashtag#awsproserv team and the talented Intuitive superstars under the inspiring leadership of CEO Jay Modh, alongside visionary leaders Indraneel Shah and Mir Navazish Ali.

𝐓𝐢𝐦𝐞 𝐅𝐥𝐢𝐞𝐬..
Being an active member of the hashtag#AWSCommunity has been a highlight. From presenting at international conferences, organizing and hosting meetups, to having a Fireside chat with Dr. Werner Vogels, participating in the hashtag#AWSHeroes Summit, and engaging with Global AWS UG Leaders and hashtag#AWSAmbassadors at AWS re:Invent – it has been truly remarkable.

𝐓𝐢𝐦𝐞 𝐅𝐥𝐢𝐞𝐬..
A heartfelt thank you to Intuitive for my professional growth and to the AWS Community for the knowledge sharing opportunities. Over and above that, making a tiny difference in schools and colleges by bridging the gap between industry and academia, and inspiring students, has been deeply fulfilling.

My sincere gratitude to all mentors, well-wishers, colleagues, and friends for an amazing year. Looking forward to sharing more stories in the year to come.

𝐀𝐖𝐒 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 𝐑𝐨𝐮𝐧𝐝𝐭𝐚𝐛𝐥𝐞 - 𝐅𝐢𝐫𝐞𝐬𝐢𝐝𝐞 𝐂𝐡𝐚𝐭 𝐰𝐢𝐭𝐡 𝐃𝐫.𝐖𝐞𝐫𝐧𝐞𝐫

Bhuvaneswari Subramani — Mon, 30 Dec 2024 14:29:28 +0000

It was a delight to attend 𝐀𝐖𝐒 𝐄𝐦𝐩𝐨𝐰𝐞𝐫 𝐈𝐧𝐝𝐢𝐚 in New Delhi and truly honoured to have 𝐃𝐫.𝐖𝐞𝐫𝐧𝐞𝐫 𝐕𝐨𝐠𝐞𝐥𝐬 join us for the AWS Community Leaders Roundtable following his enlightening keynote address.

𝘈𝘴 𝘭𝘦𝘢𝘥𝘦𝘳𝘴 𝘢𝘴𝘤𝘦𝘯𝘥 𝘵𝘩𝘦 𝘭𝘢𝘥𝘥𝘦𝘳 𝘰𝘧 𝘴𝘶𝘤𝘤𝘦𝘴𝘴, 𝘵𝘩𝘦𝘺 𝘣𝘦𝘤𝘰𝘮𝘦 𝘮𝘰𝘳𝘦 𝘦𝘮𝘱𝘢𝘵𝘩𝘦𝘵𝘪𝘤, 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨 𝘤𝘰𝘮𝘧𝘰𝘳𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘩𝘶𝘮𝘣𝘭𝘪𝘯𝘨 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦𝘴 𝘵𝘰 𝘵𝘩𝘰𝘴𝘦 𝘢𝘳𝘰𝘶𝘯𝘥 𝘵𝘩𝘦𝘮. 𝘐𝘵’𝘴 𝘢 𝘸𝘰𝘯𝘥𝘦𝘳𝘧𝘶𝘭 𝘲𝘶𝘢𝘭𝘪𝘵𝘺 𝘵𝘰 𝘢𝘴𝘱𝘪𝘳𝘦 𝘵𝘰. 𝘐 𝘸𝘢𝘴 𝘴𝘰 𝘧𝘰𝘳𝘵𝘶𝘯𝘢𝘵𝘦 𝘵𝘰 𝘸𝘪𝘵𝘯𝘦𝘴𝘴 𝘵𝘩𝘪𝘴 𝘧𝘳𝘰𝘮 𝘰𝘶𝘳 𝘭𝘦𝘨𝘦𝘯𝘥 𝘢𝘯𝘥 𝘴𝘤𝘪𝘦𝘯𝘵𝘪𝘴𝘵, 𝘞𝘦𝘳𝘯𝘦𝘳, 𝘸𝘩𝘰 𝘱𝘳𝘰𝘷𝘪𝘥𝘦𝘥 𝘢𝘭𝘭 𝘵𝘩𝘦 𝘤𝘰𝘮𝘧𝘰𝘳𝘵 𝘢𝘯𝘥 𝘧𝘳𝘦𝘦𝘥𝘰𝘮 𝘵𝘰 𝘢𝘴𝘬 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴 𝘧𝘳𝘰𝘮 𝘵𝘩𝘦 𝘩𝘦𝘢𝘳𝘵.
𝘠𝘦𝘴, 𝘐 𝘧𝘦𝘦𝘭 𝘪𝘯𝘤𝘳𝘦𝘥𝘪𝘣𝘭𝘺 𝘣𝘭𝘦𝘴𝘴𝘦𝘥 𝘵𝘰 𝘩𝘢𝘷𝘦 𝘵𝘩𝘦 𝘤𝘩𝘢𝘯𝘤𝘦 𝘵𝘰 𝘤𝘰𝘯𝘷𝘦𝘳𝘴𝘦 𝘸𝘪𝘵𝘩 𝘰𝘯𝘦 𝘰𝘧 𝘵𝘩𝘦 𝘸𝘰𝘳𝘭𝘥’𝘴 𝘭𝘦𝘢𝘥𝘪𝘯𝘨 𝘴𝘤𝘪𝘦𝘯𝘵𝘪𝘴𝘵𝘴. 𝘏𝘦 𝘪𝘴 𝘯𝘰𝘵 𝘰𝘯𝘭𝘺 𝘢 𝘣𝘳𝘪𝘭𝘭𝘪𝘢𝘯𝘵 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘴𝘵 𝘣𝘶𝘵 𝘢𝘭𝘴𝘰 𝘢 𝘧𝘶𝘯-𝘭𝘰𝘷𝘪𝘯𝘨 𝘪𝘯𝘥𝘪𝘷𝘪𝘥𝘶𝘢𝘭 𝘸𝘩𝘰 𝘳𝘦𝘴𝘱𝘦𝘤𝘵𝘴 𝘢𝘯𝘥 𝘱𝘳𝘰𝘮𝘰𝘵𝘦𝘴 𝘥𝘪𝘷𝘦𝘳𝘴𝘦 𝘤𝘶𝘭𝘵𝘶𝘳𝘦𝘴 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘶𝘵𝘮𝘰𝘴𝘵 𝘩𝘶𝘮𝘪𝘭𝘪𝘵𝘺. 𝘏𝘪𝘴 𝘺𝘰𝘶𝘵𝘩𝘧𝘶𝘭 𝘴𝘱𝘪𝘳𝘪𝘵 𝘪𝘴 𝘵𝘳𝘶𝘭𝘺 𝘩𝘦𝘢𝘳𝘵𝘸𝘢𝘳𝘮𝘪𝘯𝘨, 𝘮𝘢𝘬𝘪𝘯𝘨 𝘪𝘵 𝘢 𝘨𝘦𝘯𝘶𝘪𝘯𝘦 𝘱𝘳𝘪𝘷𝘪𝘭𝘦𝘨𝘦 𝘵𝘰 𝘬𝘯𝘰𝘸 𝘩𝘪𝘮.

It’s another feather in your cap when 𝐃𝐫. Werner Vogels began as, “𝑰 𝒓𝒆𝒎𝒆𝒎𝒃𝒆𝒓 𝒉𝒆𝒓 𝒗𝒆𝒓𝒚 𝒘𝒆𝒍𝒍 𝒂𝒔 𝒂 𝑮𝒐 𝑩𝒖𝒊𝒍𝒅 𝒂𝒘𝒂𝒓𝒅𝒆𝒆 𝒃𝒆𝒄𝒂𝒖𝒔𝒆 𝒏𝒐𝒕 𝒎𝒂𝒏𝒚 𝒉𝒂𝒗𝒆 𝒓𝒆𝒄𝒆𝒊𝒗𝒆𝒅 𝒊𝒕 𝒔𝒐 𝒇𝒂𝒓.”

𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✏ Dr. Werner highlighted the unique energy and enthusiasm of Indian developer community.
✏ Got to learn strategic and tailored approach for 𝐀𝐝𝐨𝐩𝐭𝐢𝐧𝐠 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 in large-scale enterprises.
✏ Dr. Werner discussed Generative AI's potential and emphasized that Generative AI aims to empower developers and organizations to leverage AI for enhanced productivity & innovation.
✏ Dr. Werner emphasised 𝒘𝒓𝒊𝒕𝒊𝒏𝒈 𝒂𝒏𝒅 𝒔𝒑𝒆𝒂𝒌𝒊𝒏𝒈 as the essential non-technical skill for the next generation tech leaders.
✏ Learnt that Dr.Wener loves 𝐬𝐩𝐢𝐜𝐲 𝐇𝐲𝐝𝐞𝐫𝐚𝐛𝐚𝐝𝐢 𝐁𝐢𝐫𝐢𝐲𝐚𝐧𝐢, 10 year old Werner's hobbies were sports & music and a lot more 🥰

𝑮𝒐𝒕 𝒂 𝐜𝐡𝐚𝐧𝐜𝐞 𝐭𝐨 𝐰𝐢𝐬𝐡 𝐃𝐫. 𝐖𝐞𝐫𝐧𝐞𝐫 𝐕𝐨𝐠𝐞𝐥𝐬, 𝐚 𝐡𝐚𝐩𝐩𝐲 𝐛𝐢𝐫𝐭𝐡𝐝𝐚𝐲 𝐢𝐧 𝐚𝐝𝐯𝐚𝐧𝐜𝐞 & 𝒈𝒆𝒕 𝒂𝒖𝒕𝒐𝒈𝒓𝒂𝒑𝒉 𝒕𝒐𝒐 🎂💐

Thank you so much Ridhima Kapoor for spear-heading this initiative & giving us wonderful experience. Ross Barich Taylor Jacobsen Rashmi Nambiar, PMP Rohini Gaonkar Suman Debnath

I always feel energized by the support from Intuitive.Cloud leaders, Jay Ashok Modh, Indraneel Shah, and Mir Navazish Ali
Social Handles Links:

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Gallery

*Best Memories forever:
*

Empowering Dreams: A Day of Joy and Learning

Bhuvaneswari Subramani — Fri, 20 Dec 2024 05:54:41 +0000

"I alone cannot change the world, but I can cast a stone across the waters to create many ripples." – Mother Teresa

November 9th was a day of remarkable events:

Our younger son embarked on a 7-day school trip to Darjeeling.
Our elder son went on a 2-day school trip to Munnar.
300 girl students from St. John De Britto School, Sathyamangalam set on a day trip to Black Thunder Water Theme Park.

How did these events connect, and why were they so impactful to me?

St. John De Britto School's headmistress, Ms. Sahayam, invited me to a Parents & Teachers meeting to emphasize the importance of girls' education and motivate the students to learn and grow. During my visit, Ms. Sahayam shared her dream of taking the school children to the Black Thunder Water Theme Park and the Bannari Amman Temple. For the children of daily wage earners, these trips would have been distant dreams.

I loved her idea and wanted to contribute. Black Thunder offered a subsidized price with lunch for the students, and one staff member per 15 students could enter for free. However, the headmistress mentioned that while they could collect a minimal fee from the students for entry, they couldn't afford the bus fare. Could I help arrange transportation?

We needed six buses for at least 300 students. Some parents and caretakers mentioned that they were single parents or had no parents, making it difficult to pay even the minimal fee. They could only cover diesel expenses if someone sponsored the buses. I decided to cover the tour fee for the needy 10 children (well, not taking credit for the funding from my family run charity), but we still needed buses.

After much thought, I approached KAAMADHENU ARTS AND SCIENCE COLLEGE with hesitation. To my relief, both Secretary Ms. P. Arunthathi and Joint Secretary Ms. P. Malar Selvi readily accepted my request. Their generosity and timely support were game-changers, turning the trip into an extravaganza.

On the day of the trip, the children enjoyed, jolly good buss ride, a good darshan at Bannari Amman Temple and a fun-filled day at the water theme park with yummy lunch. I am sure this experience will inspire the girls to return to their studies with renewed spirit.

Here is the glimpse (thanks to St.John De Brito school for the video)

Often, we find ourselves doubting our ability to make a difference, thinking, "What can I do?" and moving on. However, taking a moment to pause and reflect can lead to profound transformations.

Coincidentally, my sons embarked on their school tours on the same date. However, being part of these aspiring and deserving girls' special day brought me immense joy and a renewed sense of purpose. ** Interestingly, my contribution was just a fraction of what I would have spent on my sons' trips, yet it made a world of difference to these girls.**

This made me realize

Community is my passion, Humanity is my lifeline.

It's all about connecting the right dots, a principle my friends Vidhya Bhojan, Founder, https://rightdots.org/ and Balakumar Thangavelu, always practice.

There's much more to come on our journey together by connecting right dots. Stay tuned!

If you wish to contribute to this school in any form, ping me on linkedin, will connect you.

LinkedPost

The unseen beauty of Antelope Canyon!!

Bhuvaneswari Subramani — Thu, 19 Dec 2024 12:07:55 +0000

When you're in Vegas, exploring the stunning beauty of Antelope Canyon is a real treat for the eyes. As AWS re:Invent was wrapping up, we wanted to fulfill our wish to explore the grandeur of Vegas. Ayyanar helped book tickets for five of us – Vivek, Jones, Ilan, Ayyanar, and myself. This tour was special because we chose to celebrate Vivek’s birthday.

The tour was a 13-hour package starting at 5:00 AM on December 7, 2024, at the Whynn Hotel. As AWS Heroes, we had our hotel bookings at The Venetian, which is a 10 to 15-minute brisk walk from The Venetian to Whynn. We decided to meet at The Venetian – Grand Lux, our traditional meeting point, at 4:45 AM and then walk towards Whynn. I set my alarm for 4:00 AM, but as usual, my instinct woke me up 10 minutes before the alarm. I started getting ready and noticed some messages being exchanged in the “Explore-Vegas” WhatsApp group between Ayyanar, Jones, and Ilan. This confirmed that everyone was up and getting ready.

At 4:45 AM, I reached Grand Lux, looked around, and found Jones walking towards me a minute later. In the next couple of minutes, Ilan and Ayyanar joined us. That’s when we realized there had been no message or call from Vivek. We started calling his mobile, but there was no answer. Unfortunately, we didn’t have his floor and suite number to knock on his door. We approached the security at the ground floor to check his room number and call on the in-room intercom. Initially, the security was hesitant, but when we explained that we were all set for the Antelope Canyon tour and our friend was not responding, he agreed to check with the Front Desk. I wrote Vivek Raja P S on a piece of paper and asked the security to coordinate with the Front Desk to get the room number. A few minutes later, the security turned towards us and said there was no booking in this name or they couldn’t locate the person.

It was time to split into two groups and act. Ilan and Jones stayed with the security to see if anything was possible, while Ayyanar and I went to the Front Desk to seek help. While walking towards the Front Desk, we further split into two – I went to the Venetian Front Desk, and Ayyanar went to the tour bus boarding point.

At the Front Desk, a receptionist greeted me with a broad smile and asked how she could help. I explained the whole situation and our tour plan, seeking help to wake up our tour buddy, Vivek. With the first name and last name given, she was able to locate the room number and tried calling a couple of times. The phone was ringing, but there was no answer. This was even scarier. I further requested her to escort us with a security and master key to open his room. She hesitated initially but upon my request went to check with her manager. Meanwhile, we heard from Vivek, who called saying he was up and coming down shortly. He explained that his alarm had apparently rung, but his mobile had fallen slightly under the cot, so neither the alarm sound nor our constant phone calls were heard. Finally, our constant phone calls or our telepathy woke him up.

I ran back to our meeting point at Grand Lux, where Ilan and Jones were waiting. I told them to start walking towards Whynn Hotel, the pickup point, and I would come once I got Vivek. But Jones refused, saying let’s go together. Finally, Vivek arrived, and we started walking. But now Ayyanar was still on the way to the pickup location. We started walking and running swiftly, rushing through Venetian Casino, then Palazzo, exiting near Buddy V’s Ristorante, and using the overbridge to continue walking/running. If not for Ilan and myself, Vivek and Jones would have run and caught the bus by now.

By the time we reached Whynn Hotel, Ayyanar alerted us that the tour bus guide refused to wait any longer and was moving towards Treasure Island. We four took a detour and started running towards Treasure Island, using two overbridges to cross the roads and entering Treasure Island. We entered the Treasure Island Casinos and went in search of the hotel lobby to locate the valet parking or tour bus area. It was indeed a treasure hunt in the casino groove, which took a while.

We started hearing from Ayyanar that the tour guide refused to wait, and the bus was going to start. All his pleas, requests, and firefighting to stand by us went in vain. Yes, we missed the bus because we were late by 5 minutes. An expensive lesson learned in the Vegas wilderness! We thought Ayyanar would be on the bus, and we would follow his live location. While we were hunting for a taxi, we learned that he also got down. When we asked why he got down, Ayyanar answered that he couldn’t go without us. That amazed me. We all assembled at the Treasure Island valet parking, tried to make a phone call to the tour guide to wait somewhere so we could reach by taxi. He was definitely a tough nut to crack. No matter how and what we asked, all he reiterated was that there would be no stop for the next 2.5 hours until they reached the Colorado River. Even if we took a taxi and searched for them, the speed at which the bus was traveling couldn’t be matched with a taxi. So please do not try this. From their side, they waited for a few minutes, and since we didn’t make it on time, they departed. So, I am sorry!

The team was disappointed, and we were thinking about what to do. I could see the birthday boy was more disappointed for his late coming and upsetting the plan for everyone. It’s all in the game and a memorable experience for everyone. We went to the Venetian lobby to explore other tour options but didn’t find anything for that day. So, we went to the food court, had the snacks we had packed for our tour, and then chose to explore Vegas with a local hop-on and hop-off bus tour.

Vivek’s mind was still not in the present, and he immediately took ownership of the missed tour and opted to pay back everyone. I had to tell him very strongly that I am elder to him and good to take that cut. I further added that if my son had made this mistake, he wouldn’t pay me back, and so it is with him. However, I still went ahead and made the payment to Ayyanar for four of them. But the entire crew refused to take the money and paid it back.

We are super confident that Vivek will be a super successful executive in the future, and at that time, he can take us to Antelope Canyon again! We spent the whole day together exploring the Vegas Strip and ensured the birthday boy had his portrait taken at the Welcome to Vegas landmark.
We all had our memorable group pic too 🥰

Happy Birthday to you, dear Vivek 💐🎂

Lessons learned:

Even during tough times, the crew stood by each other, took timely decisions, and acted swiftly, reflecting true leadership and great coordination.
No one lost their cool to yell at someone or accuse someone of being late or not running, reflecting mutual respect and earned trust.
Even at a young age, Vivek’s ownership and accountability to quickly transfer the money is commendable.
The crew’s willingness to share the loss showed maturity and support.

I wanted to sit down and pen this story to cherish the important lessons we learned during this failure situation. I appreciate the crew for their trust, respect, simplicity, ownership, and leadership.

One thing I told myself was to build the stamina and run 5k in AWS re:Invent 2025. Hope you will forget this by next year 😉

Breaking Barriers: KPR College Students Set Record with 2,000+ AWS Partyrock Apps in 30 Minutes

Bhuvaneswari Subramani — Sun, 01 Sep 2024 15:46:18 +0000

2,000+ 𝐀𝐖𝐒 Partyrock 𝐚𝐩𝐩𝐬 𝐜𝐫𝐞𝐚𝐭𝐞𝐝 𝐢𝐧 30 𝐦𝐢𝐧𝐮𝐭𝐞𝐬! 🎉

KPR College of Arts and Science, Coimbatore inaugurated its departmental associations with a workshop featuring industry experts. I had the pleasure to unveil #AWS PartyRock and sparked students’ curiosity, leading to a record creation of over 2,000 apps in 30 minutes, showcasing their technical skills and innovation.

This is in continuation with the post on my experience as 𝐂𝐡𝐢𝐞𝐟 𝐆𝐮𝐞𝐬𝐭 𝐚𝐭 𝐭𝐡𝐞 𝐆𝐫𝐚𝐧𝐝 𝐈𝐧𝐚𝐮𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐒𝐜𝐡𝐨𝐨𝐥 𝐨𝐟 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐢𝐨𝐧, we continued to set a record!

*Here is the translation press release *

📕 KPR College of Arts, Science, and Research - School of Computing Science Inaugurates Departmental Associations with a Cutting-Edge Workshop

📕 KPR College of Arts, Science, and Research (KPRCAS) marked a significant milestone by inaugurating its departmental associations for AIML, Artificial Intelligence and Data Science (AIDS), Computer Technology (CT), and Bachelor of Computer Applications (BCA). This event aimed to enhance students’ technical skills and foster innovation within these departments.

📕 The inauguration was a notable event, featuring distinguished guests such as Ms. Malar Chinnusamy, Director at Microsoft Teams, and Ms. Bhuvaneswari Subramani, Chief Cloud Evangelist at Intuitive.Cloud & AWS Hero. The function was presided over by Dr. P. Geetha and Dr. Sharmila, Dean of the School of Computing Science (SoCS).

📕 Ms. Malar Chinnusamy shared her experiences & journey in adding value to Microsoft Teams calling during the pandemic.

📕 Ms. Bhuvaneswari Subramani delivered an inspiring keynote, emphasizing the development of technical skillsets among students. She introduced the innovative AWS PartyRock, an AWS Generative AI Playground designed to transform ideas into dynamic apps. Her presentation captivated the audience, showcasing how PartyRock can revolutionize app development leveraging Generative AI.

𝐀𝐖𝐒 𝐏𝐚𝐫𝐭𝐲𝐑𝐨𝐜𝐤 𝐇𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧

📕 The students of the School of Computing Science responded with remarkable enthusiasm. Within just half an hour, they created an impressive 2000+ apps using AWS PartyRock. 𝐓𝐡𝐢𝐬 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐧𝐨𝐭 𝐨𝐧𝐥𝐲 𝐭𝐡𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐏𝐚𝐫𝐭𝐲𝐑𝐨𝐜𝐤 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐛𝐮𝐭 𝐚𝐥𝐬𝐨 𝐭𝐡𝐞 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬’ 𝐞𝐚𝐠𝐞𝐫𝐧𝐞𝐬𝐬 𝐭𝐨 𝐚𝐩𝐩𝐥𝐲 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐅𝐌𝐬) 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐚𝐩𝐩𝐬 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐬𝐜𝐞𝐧𝐚𝐫𝐢𝐨𝐬.

📕 The event underscored KPRCAS’s commitment to practical, hands-on learning and its dedication to nurturing students’ technical expertise. The creation of 2000+ apps in such a short time reflects the institution’s focus on fostering innovation and excellence in technology education.

𝐀𝐬 𝐚 𝐧𝐞𝐱𝐭 𝐬𝐭𝐞𝐩 𝐢𝐧 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐭𝐡𝐞 𝐭𝐨𝐩 20 𝐚𝐩𝐩𝐬 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐬𝐡𝐨𝐫𝐭𝐥𝐢𝐬𝐭𝐞𝐝 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐜𝐨𝐫𝐫𝐞𝐬𝐩𝐨𝐧𝐝𝐢𝐧𝐠 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬 𝐰𝐢𝐥𝐥 𝐮𝐧𝐝𝐞𝐫𝐠𝐨 𝐚𝐧 𝐀𝐖𝐒 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐥𝐞𝐝 𝐛𝐲 𝐁𝐡𝐮𝐯𝐚𝐧𝐞𝐬𝐰𝐚𝐫𝐢 𝐒𝐮𝐛𝐫𝐚𝐦𝐚𝐧𝐢.

📕 Dr Geetha P, Principal of the College, expressed her pride in the students’ achievements & reaffirmed the college’s dedication to providing cutting-edge educational opportunities.

students #aiml #AWspartyrock #partyrock #thecovaimail #coimbatore #aws

*The less known fact is.. *

The first one to create the Partyrock app and validate is the principal Dr Geetha P herself on "LCR Circuit Differential Equation Solver".

Social Media Links:
LinkedIn, FB, Twitter, Instagram

Gallery

AWS Community Day Bengaluru 2024 – A Launchpad for Her to Reignite the Culinary Journey

Bhuvaneswari Subramani — Tue, 20 Aug 2024 13:23:13 +0000

“Some stories are always worth sharing.”

In February 2024, I had the pleasure of meeting Meena akka (akka means sister in Tamil / Telugu) during a visit to some beautiful natural rejuvenation retreat. We had a great time exploring these places, and I learned so much about her incredible journey. She is an amazing cook, having run a Girls paying guest accommodation, restaurant and supplied food to an college in Andhra Pradesh a few years back with her husband. Sadly, she lost her husband during the COVID-19 pandemic, which was truly disheartening. Despite this immense loss, she continues to shine with her culinary skills.

Currently, she co-runs Simhapuri (The Taste of Nellore) Restaurant near Whitefield and lives with her daughter, who works in an IT company. She is a proud mother who has raised her daughter well and seen her get married to super support gentleman. However, there is a part of her that misses her husband, who was her great companion in personal life and all her business ventures. They ran a PG for women and a restaurant that supplied food to engineering colleges and other establishments in Andra Pradesh.

Co-incidentally, we were planning AWS Community Day Bengaluru 2024 at the Amazon office, Bagmane tech park. We knew we needed a caterer who could provide breakfast, lunch, and high tea for over 600 attendees, including 20 speakers and volunteers. Meena akka’s culinary skills combined with compassion sparkled as a perfect candidate to me.

I had 3 more friends at the retreat: Sailaja, who is also a chef (running sailaws kitchen), Hari Priya and another Saila akka. 3 of them joined us to help prepare the menu. The one bottleneck was the language barrier between Meena akka and me. She speaks only Telugu, and while I can understand Telugu, I can’t keep up when she speaks very quickly. Thankfully, my friends were there to help bridge the gap. We worked together to finalize the menu and laid out the prices.

The SHE power behind the menu!!

I took this back to the AWS Community Day Bengaluru organizing team, who were working on the food arrangements. They were really amazed by the menu and price but wondering about the new and unfamiliar caterer. Their concerns are valid indeed.

That reminds me of famous meme from Tamil Movie

"Namaku soru than mukkiyam ⚡️" (நமக்கு சோறு தான் முக்கியம்)
translates to "Food is important to us" in English 😂.

And here is Ramya Natesan's mind voice to me, Vivek and Ayyanar 😉.. (Pun intended)

Visit to Simhapuri Restaurant

On Feb 17th 2024, during the AWS re:Invent recap, I suggested that instead of just going by my recommendation, we should taste the food and then decide. A group of almost 10 of us visited Simhapuri (The Taste of Nellore) Restaurant. Meena akka served us a delicious spread of vegetable biryani, chicken biryani, paneer gravy, curd rice, and an amazing tomato pickle. She hosted us like a family, with her daughter, son-in-law, and niece all helping out. We ate to our heart’s content and were super happy with the taste and presentation.
Impressed by the quality and taste, we decided to go ahead with her as our caterer.

This decision was unconventional, as we chose a mid-sized restaurant over a fancy star-rated one, but resassured that nothing can beat the authentic Andhra food. The organizing team at Amazon was supportive, helping with all the logistics to ensure a smooth process.
My language barrier with Meena akka continued but video calls with actions and google translation (English to Telugu) saved me 😊. Thanks to Meena akka's daughter, Vijeitha and our friend Ayyanar helped at other times. Jones & Vivek Raja have been pillar of support all through this execution.

On the day of the event, Meena akka exceeded our expectations. She provided more side dishes than promised, adding a special touch to the breakfast with Idli, Kesari and Pongal. A good spread of delicious lunch with chicken biriyani, vegetable biriyani, chapatti, paneer curry, curd rice, tomato chutney etc. Her dedication and passion shone through, making the event a resounding success.
One unforgettable moment was when she ensured that everyone at the conference, from security to housekeeping staff, was invited to enjoy the food. She even brought 100 extra boxes to pack any leftover food so that people could take it home and share it with their families. This thoughtful gesture truly stood out and made the event even more special. You might have attended numerous tech events, returning home with valuable insights and fantastic swag. However, for the first time ever, many of our attendees left with packed meals from this wonderful mother😊. She was indeed perceived as an avatar of Annapoorneshwari (Goddess of nourishment).

A lesser-known fact is that Meena akka had a fall a couple of weeks before the event and was advised to rest. Despite this, she made every effort to be at the forefront and honor her commitment. You could even see her wearing a back support belt during the event. Appreciate her daughter and entire family standing by her.

This journey has been a testament to the power of collaboration and the impact of passion and resilience. Meena akka’s story is one of strength and dedication, and her culinary skills brought a unique flavor to AWS Community Day 2024.

Lessons Learned:
• Identify the right talent and give them the opportunity.
• Provide a platform for people to exhibit their innate skills.
• Meena akka’s primary skills are a true testament to her power and potential.

Let’s help someone (re)build their brand. You will always have a story to tell.

I’m confident this is just the beginning for her, and this experience will be a stepping stone to further reshape her career. Personally, its yet another story for me to reiterate,

"When women support each other incredible things happen"
and thats doubled when I had super supportive men in my team.

A Big Thank you from all of us, Meena akka!

During the vote of thanks, we called her to the stage to pay our respect and gratitude on behalf of the entire audience. The response from the audience was overwhelmingly positive, with applause and cheers echoing throughout the venue.

A small memento to her on behalf of AWS Community Day 2024
(well, I had given her this soon after lunch)

Meena akka with her family

Review for Simhapuri Restaurant
Ramya Natesan

The taste of Banglore conference is still in my tongue.. awesome cooking.

Vivek Raja P S

The food satisfied our hunger, and Meena Akka's warm smile filled our hearts. From our very first conversation to the final wrap-up, we never had to worry about the food—it was flawlessly managed and executed by her.

Ganesh Samarthyam

The food in AWS Community Day Bengaluru 2024 for exceptionally good - lipsmacking Biriyani was a big hit and we loved it!

Ashapurna Mukerjee

Warm hospitality and culinary delights came together to make our day truly special

Ayyanar Jeyakrishnan

At AWS Community Day Bengaluru 2024, Meena akka's culinary expertise transformed the event into a memorable feast. Her authentic Andhra flavors left a lasting impression, and her kind gesture of providing attendees with food parcels to share with their families added a special touch, spreading joy beyond the event itself.

You can find Simhapuri (The Taste of Nellore) Restaurant in your Swiggy or Zomatto!!

Inspiration #Resilience #CulinaryJourney #AWSCommunityDay #SimhapuriRestaurant #LifeStories