Showing archive results for 2026

AI coding agents can write much of an application's code, but developers still need to review the decisions behind it. For a Cosmos DB application, that includes choosing partition keys, modeling access patterns, and configuring the client. Those decisions affect cost, performance, and reliability long after the code compiles. We've written before...

Building cross-cloud solutions with best-of-breed cloud-native databases means learning multiple SDKs, translating queries, handling different errors, and testing across providers. The Multicloud DB SDK for Java lets you share that work across Azure Cosmos DB, Amazon DynamoDB, and Google Cloud Spanner. You (or your coding agent) write CRUD and quer...

In the last post we walked through why RBAC broke your app and how to fix it. Your app is now running on a managed identity, keys are off, and everything is green. Then your build pipeline runs, and it needs to seed test data. Suddenly you're staring at a secret in your CI settings and wondering if you just undid all that work. As we continue this ...

Move from a locally composed memory-enabled agent to a deployed Foundry Agent Service agent, with keyless Azure infrastructure and an interactive browser sample. In Native Agent Memory for Microsoft Agent Framework, Powered by Azure Cosmos DB, we introduced : a Microsoft Agent Framework context provider that extracts useful i...

Anthropic's 2026 Agentic Coding Trends Report captures an important tension in how developers use AI. Engineers report using AI in roughly 60% of their work, yet say they can fully delegate only 0–20% of their tasks. AI is becoming a constant collaborator, but it still needs setup, supervision, validation, and human judgment. That gap is especia...

We covered the roles your Azure Cosmos DB app needs in our previous post. Now let’s look at what happens after you’ve assigned those roles, switched identities, disabled keys and suddenly staring at a . As we continue this security series, we’ll walk through the most common causes, how to diagnose them, and how to get back to green quickly. The si...

Recently we introduced the Agent Memory Toolkit and the Agentic Retrieval Toolkit for Azure Cosmos DB. The Agent Memory Toolkit gives your agents durable, Cosmos-backed memory: it stores raw conversation turns and then distills them into higher-value derived memories (thread summaries, extracted facts, and cross-thread user profiles), all searchabl...

If you use the Azure Cosmos DB vNext emulator, you probably know the local development loop: start the emulator, connect to it, create some resources, load test data, run queries, and inspect the results. Each step is straightforward, but together they add setup work before you can test the application you are actually building. How agents work wi...

Most "AI agent" demos forget everything the moment the process exits. That's fine for a toy project, but useless for anything real. An agent that helps you write, triage, or support needs two things a language model alone can't give it: durable state and the ability to recall the right context by meaning. This post shows how to build exactly that b...

Design patterns are where good data modeling lives or dies. In a NoSQL database like Azure Cosmos DB, the difference between a schema that scales to millions of operations per second and one that fights you at every turn usually comes down to a handful of well‑understood patterns: how you partition, how you version, how you fan out work, how you ke...