Modern AI Apps with Azure Cosmos DB

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Modern AI Apps with Azure Cosmos DB

Microsoft Reactor に参加し、開発者とライブで交流する

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Modern AI Apps with Azure Cosmos DB

形式:
ライブストリーム

トピック: AI アプリケーション

言語: 英語

このシリーズのイベント:
2

Modern AI Apps with Azure Cosmos DB is a hands-on journey for developers and architects eager to harness the power of AI coding agents in real-world cloud app development. Each session explores how agentic workflows—where AI assists with code, design, optimization, and troubleshooting—can accelerate building, scaling, and modernizing applications on Azure Cosmos DB.

You’ll learn how to:

Go from prompt to production-ready app using agentic tools and best practices.
Design smarter data models and APIs with AI assistance.
Review, optimize, and debug code for scalability and efficiency.
Scaffold modern AI app patterns, refactor legacy code, and ensure production readiness.
Understand the evolving role of developers as AI becomes a core part of the software engineering process.

Whether you’re new to agentic development or looking to deepen your expertise, this series delivers practical guidance, live demos, and actionable insights for building the next generation of cloud-native applications.

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常時 - 協定世界時

6月

木曜日

2026

Agentic Coding with Azure Cosmos DB: From Idea to Working App

3:00 午後 - 4:00 午後 (UTC)

What happens when you move beyond autocomplete and start building applications with an AI coding agent as part of your workflow? This session shows how developers can go from a prompt to a working Azure Cosmos DB application using agentic development tools, while learning where agents accelerate work—and where human architecture decisions still matter. Check out the CosmosDB Agent Kit

形式:
ライブストリーム

トピック: AI アプリケーション

言語: 英語

詳細

7月

木曜日

2026

Designing Better Data Models with an AI Coding Agent

3:00 午後 - 4:00 午後 (UTC)

Data modeling is one of the hardest parts of building distributed applications, and it's easy to get wrong early. This session explores how an agent can help design containers, partition keys, relationships, and access patterns for Azure Cosmos DB while teaching developers how to validate those recommendations. Check out the CosmosDB Agent Kit