After years of working with C# in enterprise environments, I’ve seen developers struggle with the same question: when should I use a record instead of a class? The answer isn’t as straightforward as the documentation suggests. In this article, I’ll share my perspective on records—battle-tested patterns, surprising gotchas, and the decision framework I use in […]
Read more →Category: Microsoft
Microsoft Corporation (NASDAQ: MSFT) is an American multinational corporation headquartered in Redmond, Washington, United States that develops, manufactures, licenses, and supports a wide range of products and services predominantly related to computing through its various product divisions. Established on April 4, 1975 to develop and sell BASIC interpreters for the Altair 8800, Microsoft rose to dominate the home computer operating system market with MS-DOS in the mid-1980s, followed by the Microsoft Windows line of operating systems.
Microsoft would also come to dominate the office suite market with Microsoft Office. The company has diversified in recent years into the video game industry with the Xbox and its successor, the Xbox 360 as well as into the consumer electronics and digital services market with Zune, MSN and the Windows Phone OS. The ensuing rise of stock in the company’s 1986 initial public offering (IPO) made an estimated three billionaires and 12,000 millionaires…
Case Study: Building a Modern FHIR Patient Timeline Explorer with .NET 10 and React 19
Executive Summary This case study explores the development of DooLittle Health Patient Timeline Explorer, a modern healthcare application that demonstrates enterprise-grade architecture patterns for FHIR-compliant patient data visualization. Built as a proof-of-concept, this project showcases best practices in full-stack development, cloud-native deployment, and healthcare interoperability standards. 🏥 HEALTHCARE INTEROPERABILITY SERIES This article is part of […]
Read more →Production Model Deployment Patterns: From REST APIs to Kubernetes Orchestration in Python
After deploying hundreds of ML models to production across startups and enterprises, I’ve learned that model deployment is where most AI projects fail. Not because the models don’t work—but because teams underestimate the engineering complexity of serving predictions reliably at scale. This article shares production-tested deployment patterns from REST APIs to Kubernetes orchestration. 1. The […]
Read more →Migration Guide: From Semantic Kernel & AutoGen to Microsoft Agent Framework – Part 10
Complete migration guide from Semantic Kernel and AutoGen to Microsoft Agent Framework. Before/after code examples and step-by-step instructions.
Read more →MCP Integration & External Tool Connectivity in Microsoft Agent Framework – Part 9
Connect AI agents to external tools via Model Context Protocol. Learn MCP servers, Microsoft 365 integration, and building custom MCP servers.
Read more →Production-Ready Agents: Observability, Security & Deployment – Part 8
Deploy AI agents to production with enterprise-grade observability, security, and resilience. Complete guide to OpenTelemetry, content safety, and Azure deployment.
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