Building intelligent agent with Strands
This deck talks about how you can build how to get started to build intelligent agent with Strands.
Read MoreHi, I'm Donnie!
Hi, I'm Donnie!
I build with code, brew coffee, and ride café racers enthusiast. By day, I’m a Principal Developer Advocate at AWS in Singapore. By night, I’m playing Star Wars Galaxy of Heroes 
.
This site is my digital space for sharing practical solutions in modern development — think of it as my working notes made public.
All content on this site represents my personal views and opinions.
Featured
How to use Kiro
Welcome to the Kiro IDE guided demo! This demo will walk you through the features and functionalities of Kiro, an integrated development environment designed to streamline your workflow.
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AWS Weekly Roundup: AWS re:Invent keynote recap, on-demand videos, and more (December 8, 2025)
The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges and unlock new opportunities. As usual, we have you covered with ourtop announcements of AWS re:Invent 2025that you can learn all about here.
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Slides
Building intelligent agent with Strands
This deck talks about how you can build how to get started to build intelligent agent with Strands.
Read MoreInteractive Demo
How to use Kiro
Welcome to the Kiro IDE guided demo! This demo will walk you through the features and functionalities of Kiro, an integrated development environment designed to streamline your workflow.
Read MoreAWS News
Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models
Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force a choice between poor performance with smaller models or the high costs of deploying larger model variants and managing complex infrastructure. Reinforcement fine-tuning is an advanced technique that trains models using feedback instead of massive labeled datasets, but implementing it typically requires specialized ML expertise, complicated infrastructure, and significant investment—with no guarantee of achieving the accuracy needed for specific use cases.
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AWS News
Build multi-step applications and AI workflows with AWS Lambda durable functions
Modern applications increasingly require complex and long-running coordination between services, such as multi-step payment processing, AI agent orchestration, or approval processes awaiting human decisions. Building these traditionally required significant effort to implement state management, handle failures, and integrate multiple infrastructure services.
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AWS News
Accelerate AI development using Amazon SageMaker AI with serverless MLflow
Since weannounced Amazon SageMaker AI with MLflow in June 2024, our customers have been using MLflow tracking servers to manage theirmachine learning (ML)and AI experimentation workflows. Building on this foundation, we’re continuing to evolve the MLflow experience to make experimentation even more accessible.
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