Streaming UI Updates for AI: Implementing Server-Sent Events in Frontend Expert Guide to Building Real-Time Streaming Interfaces with Server-Sent Events I’ve built streaming interfaces for dozens of AI applications, and I can tell you: Server-Sent Events (SSE) is the unsung hero of real-time AI frontends. While WebSockets get all the attention, SSE is simpler, more […]
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Mastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration
📖 Part 2 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns ← Previous: Part 1 Next: Part 3 → Building on the core concepts from Part 1, this article explores the communication patterns that […]
Read more →Real-Time Healthcare Data Pipelines: Kafka + FHIR for Clinical Decision Support
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.
Read more →Building Multi-Agent AI Systems with Microsoft AutoGen: A Comprehensive Introduction to Agentic Development
📖 Part 1 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns Next: Part 2 → 🎯 What You’ll Learn in This Series Part 1: AutoGen fundamentals, core concepts, and your first multi-agent system Part […]
Read more →Tool Use Patterns: Building LLM Agents That Can Take Action
Introduction: Tool use transforms LLMs from text generators into capable agents that can search the web, query databases, execute code, and interact with APIs. But implementing tool use well is tricky—models hallucinate tool calls, pass invalid arguments, and struggle with multi-step tool chains. The difference between a demo and production system lies in robust tool […]
Read more →Multi-Agent Coordination: Building Systems Where AI Agents Collaborate
Introduction: Single agents hit limits—they can’t be experts at everything, they struggle with complex multi-step tasks, and they lack the ability to parallelize work. Multi-agent systems solve these problems by coordinating multiple specialized agents, each with distinct capabilities and roles. This guide covers practical multi-agent patterns: orchestrator agents that delegate and coordinate, specialist agents with […]
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