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 ...

I’ve spent a lot of time inside enterprise AI deployments, and one thing that has become clear is that IT departments are leading the charge. Of course, enterprises are starting to consolidate ...

Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

AI coding agents have become one of the fastest-growing categories in enterprise software. In the span of just a few years, these development tools have evolved from simple autocomplete assistants ...

Why? While you should be using Liquibase for all your DDL there’s a bit of a chicken-and-egg problem: The database and schema where Liquibase puts itself into obviously cannot be created by Liquibase ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

It shouldn’t be a surprise that there’s a lot of Azure you can run on premises, thanks to platforms like Azure Stack. But there’s more to on-premises Azure than the familiar platforms and services.

Ultimately, every problem in the constantly evolving IT software stack becomes a database problem, which is why there are 418 different databases and datastores in the DB Engines rankings and there ...

Before we get into too much discussion, let’s look at a Hyperscript example that communicates the spirit of the thing: In English, it says: “When the div element is loaded, send an async request to ...