AI agents that can write and execute code introduce significant security risks—from data exfiltration to resource abuse. Azure Container Apps Dynamic Sessions provides a solution: ephemeral, sandboxed execution environments that isolate agent-generated code from your production infrastructure. This comprehensive guide explores how to implement secure code execution for AI code interpreters, automated testing agents, and […]
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C# 14 Deep Dive: Extension Members, Field Keyword, and Null-Conditional Assignment in Production
C# 14, released alongside .NET 10 in November 2025, introduces features that significantly reduce boilerplate and enhance expressiveness. Three standout additions—Extension Members, the field keyword, and Null-Conditional Assignment—address long-standing developer pain points. This comprehensive guide explores each feature with production-ready patterns, performance considerations, and migration strategies for existing codebases. What’s New in C# 14: Feature […]
Read more →From Data Pipeline to Agent Pipeline: How AI Changes the Architecture
Executive Summary The evolution from traditional data pipelines to AI-driven agent pipelines represents one of the most significant architectural shifts in enterprise computing since the move from monoliths to microservices. This transformation is not merely an incremental improvement—it fundamentally redefines how organizations think about data processing, orchestration, and system design. For two decades, Extract-Transform-Load (ETL) […]
Read more →Mastering C# Records: When, Why, and How to Use Them in Production
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 →Agentic AI in Enterprise: Why Infrastructure Readiness Matters More Than Model Capability
After 20+ years in enterprise architecture, I’ve seen that infrastructure readiness matters more than model capability for agentic AI deployment. Gartner predicts 40% of projects will be cancelled by 2027 due to infrastructure gaps, not AI failures.
Read more →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 […]
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