Issue: 2026 - Jan/Feb

  • Rod is touched by a documentary about a disabled young man playing video games and explores accessibility when it comes to software.
  • Sahil Malik presents a practical blueprint for building an AI-powered stock analyst that aims to deliver up-to-date, verifiable insights rather than false or outdated claims. The article walks through a client-side application that queries Google Gemini with grounding enabled, returns analyzed stock data, and attaches precise, clickable citations extracted from grounding metadata. Sahil emphasizes trust, robust error handling (including exponential backoff), clear user i...See More
  • Shawn Wildermuth encourages .NET developers to explore PostgreSQL as a powerful, cost-effective alternative to SQL Server. He explains how PostgreSQL’s open-source nature and advanced features make it suitable for various projects, especially those with budget constraints. Shawn provides practical guidance on setting up PostgreSQL using Docker, highlights key differences from SQL Server, and demonstrates seamless integration with Entity Framework.
  • Nullable Reference Types are the ugly stepsister of the C# family of tools. Matthew shows you how, with a little attention, they can blossom into a very useful tool.
  • Wei-Meng knows that these days, AI is unavoidable. It’s part of every search, every query, and even many coding practices. But it’s not just a blindly obedient tool anymore. He shows you how to get AI to understand user intent using agents.
  • These days, when you need to build a distributed analytics platform, you need polyglot architecture. Joydip shows you how to use Rust and C# to make it so.
  • Tired of the same old CLI? Sonu looks at how the Model Context Protocol (MCP) and the Angular MCP Server can be context aware, understanding not only what needs to be done but extrapolating how to do it.
  • Mike explains how Microsoft Fabric brings all your data into a single, easily accessible, centrally managed, secured, and compliant system. You’ll need it for generative AI, for sure.
  • If you ever wanted to dabble in AI movie making, you’ll have found that there are plenty of products to help you do just that. Jason compares four of the best to help you make your choice.