3:00 CH - 4:00 CH (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 TheSource - Azure Databases

4:00 CH - 5:00 CH (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 Microsoft | Azure Databases

4:00 CH - 5:00 CH (UTC)

AI coding agents can generate working code quickly, but working code isn't always production-ready code. This session focuses on reviewing agent-generated Azure Cosmos DB code for scalability, RU efficiency, indexing strategy, and long-term maintainability. Check out the CosmosDB Agent Kit Azure Cosmos DB Design Pattern Samples Azure Cosmos DB Agent Kit for AI coding assistants

4:00 CH - 5:00 CH (UTC)

From REST endpoints to serverless APIs, coding agents can dramatically speed up backend development. This session demonstrates how to use an agent to scaffold APIs, integrate Azure Cosmos DB SDKs, implement CRUD operations, and refine the architecture for real-world use. Check out the CosmosDB Agent Kit Azure Cosmos DB Agent Kit for AI coding assistants

4:00 CH - 5:00 CH (UTC)

Modern AI apps need chat history, vector search, state management, and low-latency data access. This session explores how coding agents can help developers scaffold AI application patterns while Azure Cosmos DB handles memory, retrieval, and scale.