I recently had the incredible opportunity to join Scott Hanselman on the Azure Developers Show to talk about something I've been deeply passionate about — turning coding agents into Azure Cosmos DB experts with the Agent Kit.
This session was special to me, not just because of the topic, but because of the person I got to share the stage with.
Scott Hanselman: An Inspiration Since 2014
Scott Hanselman has been one of my biggest inspirations in the developer community since 2014. His ability to break down complex technical topics, his genuine enthusiasm for empowering developers, and his commitment to making technology accessible have always resonated with me. I've followed his blog, podcasts, and talks for over a decade, and his content has shaped how I think about developer experience and community building.
I had the privilege of meeting Scott in person for the first time in 2018 at the Microsoft MVP Summit in Seattle. As a Microsoft MVP, attending the summit was already a dream come true, but getting to meet and interact with Scott made it truly unforgettable. He was exactly as warm, approachable, and passionate in person as he comes across in his content. That encounter reinforced my belief that the best technologists are those who lift others up.
Fast forward to 2026, and here I am, joining him on the Azure Developers Show to demo the work our team has been building. It's one of those full-circle moments that remind you why you keep pushing forward in your career.
What We Covered in the Session
In the session, we explored how the Azure Cosmos DB Agent Kit transforms AI-powered coding agents into database experts. Here's a breakdown of what we discussed:
The Problem
Coding agents like GitHub Copilot, Claude, and others are incredibly powerful for general programming tasks, but they often lack deep expertise when it comes to specific database operations, query optimization, and data modeling best practices for Azure Cosmos DB.
The Solution: Azure Cosmos DB Agent Kit
The Agent Kit bridges this gap by providing coding agents with:
- Schema discovery — Agents can explore your database structure, understand containers, partition keys, and indexing policies
- Intelligent CRUD operations — Context-aware create, read, update, and delete operations that follow Cosmos DB best practices
- Query optimization — AI-assisted query building that respects partition key strategies and minimizes RU consumption
- Vector search capabilities — Enabling agents to perform semantic queries against your data
- MCP integration — Seamless integration through the Model Context Protocol for tool-augmented AI workflows
Key Takeaways
- Agent-first development is becoming the norm — developers increasingly rely on AI agents for database interactions
- Domain-specific toolkits like the Agent Kit are essential for agents to provide expert-level guidance
- The MCP protocol enables standardized communication between AI agents and tools, making integrations portable across different AI assistants
- Developer experience matters — The Agent Kit is designed to feel natural within existing development workflows
Watch the Full Session
If you missed the live session, you can watch the full recording here:
A Note of Gratitude
Thank you, Scott, for the opportunity and for being such a generous host. And thank you to the Azure Developers team for having me on the show. Moments like these fuel my passion for building tools that make developers' lives better.
If you're working with Azure Cosmos DB and want to supercharge your coding agents, check out the Azure Cosmos DB Agent Kit and let me know what you think!