AI

I’ve been thinking a lot lately about what it actually takes to make an AI agent genuinely useful for database work, both for administration and for application access to the data tier. Writing the T-SQL code is the easy part. A coding assistant can do that out of the box. The hard part is giving it visibility into a running SQL Server: which sessions are blocked right now, where the wait stats are pointing, which indexes the optimizer is begging for. Without that, the agent is just guessing. With application access, an agent can propose how things should work, but what if we had tools that added context describing the agent database’s schema and what the entities actually mean to the application when interacting with the database agentically?

SQL Server 2025 is an upcoming release focused on AI, analytics, and modern database development, backed by innovations in mission-critical engine features for security, performance, and high availability.

Let’s dive into what this means for your AI and data-driven applications. We’ll walk through some of the new features announced by Azure Data Principal Architect Bob Ward in his post Announcing SQL Server 2025, and I’ll give some thoughts on these innovations and where they will fit in the enterprise.