Build production-ready real-time clinical decision support systems using Apache Kafka and FHIR. Includes complete .NET/Python code, architecture patterns, and lessons from processing millions of healthcare events per day.
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Building AI Agents: A Complete Code Review Assistant from Scratch
Hands-on tutorial building a production-ready AI agent. Create a code review assistant with tool use, error handling, caching, and GitHub integration.
Read more →The IDE Wars Are Over: How Visual Studio 2025 and Modern Developer Tools Changed Everything
🎓 AUTHORITY NOTE Based on 20+ years using every major IDE from Visual Studio .NET 2003 to today’s AI-powered tools. This represents hands-on experience leading teams through multiple IDE migrations and tool standardizations. Executive Summary Remember when developers would argue passionately about whether Visual Studio, VS Code, JetBrains, or Vim was the “right” choice? Those […]
Read more →Building Enterprise AI Applications with AWS Bedrock: What Two Years of Production Experience Taught Me
When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? After two years of production deployments across financial services, healthcare, and retail, I’ve learned what actually matters when building enterprise AI applications. AWS Bedrock Enterprise Architecture The Foundation Model Landscape Has Matured The most significant evolution […]
Read more →FHIR API Security Part 2: Implementation & Best Practices
Executive Summary Part 2 of 2: Implementation & Best Practices 🏥 HEALTHCARE INTEROPERABILITY SERIES This article is part of a comprehensive series on healthcare data standards and interoperability. HL7 v2: The Messaging Standard That Powers Healthcare IT Building GDPR-Compliant FHIR APIs: A European Healthcare … EMR Modernization: Migrating from Legacy HL7 v2 to FHIR HL7 […]
Read more →Embedding Model Selection: Choosing the Right Model for Your RAG System
Introduction: Choosing the right embedding model is critical for RAG systems, semantic search, and similarity applications. The wrong choice leads to poor retrieval quality, high costs, or unacceptable latency. OpenAI’s text-embedding-3-small is cheap and fast but may miss nuanced similarities. Cohere’s embed-v3 excels at multilingual content. Open-source models like BGE and E5 offer privacy and […]
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