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How AI coding agents actually use your technology

You ship an SDK, a CLI, an API, and developers use it. Now AI coding agents use it too, except they use it differently than humans do. Most of the time you have no idea what's actually happening between "developer types a prompt" and "agent generates code with your technology." Is the...
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Introducing the Azure DocumentDB Blog

A dedicated home for MongoDB developers, MongoDB migrations, and modern document database development using Open Source on Azure   Today, we're excited to launch the new Azure DocumentDB blog — a dedicated destination for developers, architects, and organizations building...
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Jun 2, 2026
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Build, scale, and monetize apps and agents with Microsoft Marketplace

Cyril Belikoff
At Microsoft Build, we are sharing how Microsoft Marketplace brings development, distribution, and monetization together— so apps and agents move beyond prototyping into real-world usage at scale. Microsoft Marketplace connects tens of thousands of cloud and AI solutions built by...
All things Azure
Jun 2, 2026
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Introducing azure-functions-skills: An AI-Era Workspace for Azure Functions (Preview)

Tsuyoshi Ushio
azure-functions-skills gives GitHub Copilot CLI, Claude Code, Codex CLI, and VS Code the skills, MCP configuration, hooks, and instructions needed to create, diagnose, deploy, and validate Azure Functions projects end-to-end.
Azure SDK Blog
Jun 2, 2026
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Announcing the Public Preview of Integrated Embeddings in Azure Cosmos DB: Build AI Apps With Embeddings That Stay in Sync

Abhishek Gupta
AI applications built on Azure Cosmos DB depend on embeddings for grounded results. Keeping them in sync with your data is the hard part: it means building and operating a separate data pipeline to track changes, call an embedding model, and write the results back to Azure Cosmos DB. In...
Azure Cosmos DB Blog
Jun 2, 2026
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Introducing OmniVec: An Open-Source Embedding Platform for AI Apps on Azure

Abhishek Gupta
Today we are open-sourcing OmniVec, a platform for building and operating the embedding pipelines that keep the vector representation of your operational data in sync as it changes. You register data sources, embedding model(s), vector stores (destination), and OmniVec does the rest:...
Azure Cosmos DB Blog
Jun 2, 2026
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Azure DocumentDB – General Availability of Service-Managed Failovers

Abinav Rameesh
We are excited to announce the general availability of service-managed failovers in Azure DocumentDB, eliminating the need for human intervention to recover from a regional outage. Running a production database means planning for the unlikely. Regional outages are rare, but when they...
Azure DocumentDB Blog
Jun 2, 2026
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Instant Free Tier Clusters in Azure DocumentDB

Abinav Rameesh
Feedback from developers using Azure DocumentDB consistently pointed to one small but still impactful item on their wish list: provisioning a free tier cluster took a few minutes. For a developer just getting started, or an agentic workflow spinning up ephemeral clusters to validate a...
Azure DocumentDB Blog
Jun 2, 2026
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Azure Cosmos DB All Versions and Deletes Change Feed Mode is Now Generally Available

Justine Cocchi
Modern applications don't just write data and move on. They react to it. A new order triggers an inventory update. A profile change syncs to a search index. A deleted record kicks off a compliance workflow. Azure Cosmos DB's change feed makes this possible by giving you a real-time stream...
Azure Cosmos DB Blog
Jun 2, 2026
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Change Partition Keys in Azure Cosmos DB is Now Generally Available

Richa Gaur
We're excited to announce the general availability of Change Partition Key in Azure Cosmos DB for NoSQL, now with online copy support. You can repartition containers directly in the Azure portal with near-zero downtime and without stopping writes to the source container. Why Partition...
Azure Cosmos DB Blog
Jun 2, 2026
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Change Streams in Azure DocumentDB: Richer Events, Historical Replay, and Multi-Node Change Streams (Public Preview)

Avijit Gupta
Real-time, event-driven applications are now the expectation, not the exception. Teams want dashboards that update the instant something happens, microservices that react the moment data lands, and pipelines that move changes downstream without polling a database on a timer. Since Change...
Azure DocumentDB Blog