Ahead of his Visual Studio Live! session, Marcel de Vries explains how .NET teams can expose useful application capabilities to AI agents, starting with focused, read-only tools and user-specific ...

Compare the 12 best AI app builders of 2026, including Softr, Bolt, Lovable, and Replit, on security, pricing, governance, ...

It is an embedding model that can handle five types of input—text, code, images, video, and audio—all in one space. An ...

Data Buffet (DataBuffet.com) is the Moody's Analytics repository of international and subnational economic and demographic time series data. We provide several means of manual and automatic access ...

A blueprint for getting a React web app with a C# API and a SQL database running on Azure. The blueprint includes sample application code (a ToDo web app) which can be removed and replaced with your ...

The GitHub Copilot integration with the MSSQL extension for Visual Studio Code provides AI-assisted SQL development. You can use it to write and optimize database code, generate and modify schemas, ...

The August 2026 Microsoft Patch Tuesday release delivers security fixes for vulnerabilities affecting a wide range of Microsoft products and services. As attackers continue to exploit unpatched ...

The MSSQL extension for Visual Studio Code includes an integrated UI for Data API builder, so you can create REST, GraphQL, and MCP endpoints for your SQL database tables without writing configuration ...

Google AI Studio lets users test Gemini models, build apps, generate media, and export code. Here’s what it does, costs, and where it falls short. Image: Jonathan Raa/NurPhoto via Getty Images For ...

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...

Agent mode is now available in public preview for all users in Visual Studio 17.14. Agent mode in Visual Studio allows you to define tasks using natural language, with Copilot autonomously planning, ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...