The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

A growing number of organizations are embracing Large Language Models (LLMs). LLMs excel at interpreting natural language, ...

Previously, developers had to build custom connectors for each API or data source, a task that was time-consuming and fragile. With MCP, AI clients such as Gemini CLI, AI Studio or other agent ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

Posts from this topic will be added to your daily email digest and your homepage feed. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in ...

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

What happens when a system designed to be smart starts to stumble over its own complexity? For years, AI models like Claude have struggled with a hidden inefficiency: the way they manage and execute ...

The Model Context Protocol (MCP) enables AI agents to interact with external tools across hybrid environments but introduces critical security vulnerabilities, including identity theft, data leakage, ...

Is the Model Context Protocol (MCP) on the verge of obsolescence? For years, MCP has been a cornerstone in AI agent design, offering a standardized way to integrate tools and manage interactions. But ...

You can give local AI models web access using free Model Context Protocol (MCP) servers—no corporate APIs, no data leaks, no fees. Setup is simple: Install LM ...

Microsoft announced the stable release of Azure MCP Server 1.0.0, describing it as the start of a new phase for cloud automation and AI-driven development. The open-source implementation of the Model ...

GenAI adoption is becoming more widespread in the enterprise. As a result, we are seeing a growing complexity of AI models and systems. LLM use is evolving into the next iteration of AI innovation: ...