Rethinking Documentation Translation: Treating Translations as Versioned Software Assets This article is written from the perspective of maintaining large, open-source documentation repositories i...

TL;DR Building production natural language APIs requires separating semantic parsing from execution. Use LLMs to translate user text into canonical structured requests (via schemas), then execute t...

In today's rapidly evolving AI landscape, we've witnessed the transformation from simple chatbots to sophisticated agent systems. As a developer and technology evangelist, I've observed an emerging t...

Introduction Selecting the right AI model for your application requires more than reading benchmark leaderboards. Published benchmarks measure academic capabilities, question answering, reasoning, ...

Introduction Picture this: You've built an AI agent that analyzes financial data. A user uploads a quarterly report and asks: "What are the top three expense categories?" Behind the scenes, your ag...

Introduction In today's rapidly evolving AI landscape, developers often face a critical choice: should we use powerful cloud-based Large Language Models (LLMs) that require internet connectivity, o...

Introduction In the rapidly evolving tech landscape, staying on top of key project updates is crucial. This article explores how to leverage GitHub's newly released Copilot SDK to build intelligent...

The transition from standalone Large Language Models (LLMs) to Agentic Orchestration marks the next frontier in AI development. We are moving away from simple "prompt-and-response" cycles toward...

Enhanced Workflow and Agent Experience The January 2026 update for Microsoft Foundry extension in VS Code brings a follow update to the capabilities we introduced during Ignite of last year. We’re ...

In December, we presented a series about MCP, culminating in a session about adding authentication to MCP servers. I demoed a Python MCP server that uses Microsoft Entra for authentication, requiring...