Thu Dec 25 03:00:00 UTC 2025: Okay, here’s a summary of the text, rewritten as a news article:

Summary:

The JAWS-UG “AI Builders Day” event took place on December 13, 2025, focusing on the advancements in AI Agents and AI-driven development. The keynote speaker, Minoru Ota, Japan’s first “AWS AI Hero,” reviewed the evolution of AI from the emergence of ChatGPT to the current prominence of AI Agents, highlighting key challenges and service developments from an engineer’s perspective. The event drew a large and diverse crowd, showcasing the growing interest in AI development and the role of AWS tools and community in fostering innovation. Key topics included using Amazon Bedrock for integrating AI into applications, overcoming the challenge of AI hallucinations with RAG (Retrieval Augmented Generation), and leveraging tools like Amazon S3 Vectors for cost-effective AI implementations. Ota also discussed the concept of ReAct in AI Agents and the use of Bedrock Agents and STRANDS AGENTS SDK for building and deploying AI applications.

News Article:

AI Builders Day Highlights Rapid Evolution of AI Agents, AWS Ecosystem

Tokyo, Japan – December 22, 2025 – The JAWS-UG “AI Builders Day,” held on December 13th at Sunshine City in Ikebukuro, brought together hundreds of IT professionals to explore the cutting edge of AI Agents and AI-driven development. The event showcased the rapid advancements in the field and the pivotal role of Amazon Web Services (AWS) in enabling these innovations.

Keynote speaker Minoru Ota, recently recognized as Japan’s first “AWS AI Hero,” delivered a comprehensive overview of the past three years, tracing the evolution from the introduction of ChatGPT to the current widespread adoption of AI Agents. Ota highlighted the challenges faced by engineers in integrating AI into existing systems, as well as the solutions provided by AWS services.

The event emphasized the importance of tools like Amazon Bedrock, which allows developers to securely access various Large Language Models (LLMs) through APIs. The discussion also centered on overcoming issues such as AI “hallucinations” through the use of RAG (Retrieval Augmented Generation) techniques. AWS’s development of “Knowledge Bases for Amazon Bedrock” and “Amazon S3 Vectors” were touted as significant advancements in simplifying and reducing the cost of RAG implementations.

Further focus was given to AI Agent architecture, the “ReAct” methodology, and tools to build and deploy agents, Bedrock Agents and the STRANDS AGENTS SDK.

“This year marked the start of using AI agents. Next year, let’s start building them!” said Ota, underscoring the community’s growing focus on proactively creating and deploying AI solutions.

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