Beyond AWS, Azure, and GCP—explore IBM watsonx, Oracle OCI, Databricks, and Snowflake AI platforms. Complete guide with architectures, code examples, and when to choose each platform.
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Evaluating Agent Performance: Metrics and Testing Strategies
Evaluating agent performance is harder than evaluating models. After developing evaluation frameworks for 10+ agent systems, I’ve learned what metrics matter and how to test effectively. Here’s the complete guide to evaluating agent performance. Figure 1: Agent Evaluation Metrics Framework Why Agent Evaluation is Different Agent evaluation is more complex than model evaluation: Multi-step reasoning: […]
Read more →Frontend State Management for AI Applications: Redux, Zustand, and Jotai Patterns
Frontend State Management for AI Applications: Redux, Zustand, and Jotai Patterns Expert Guide to Choosing and Implementing State Management for AI-Powered Frontends I’ve built AI applications with Redux, Zustand, Jotai, Context API, and even plain React state. Each has its place, but for AI applications—with their streaming updates, complex conversation state, and real-time interactions—the choice […]
Read more →Building Cloud-Native Applications with .NET Aspire: A Comprehensive Guide to Distributed Development
Introduction: Building distributed applications has always been one of the most challenging aspects of modern software development. The complexity of service discovery, configuration management, health monitoring, and observability can overwhelm teams before they write a single line of business logic. .NET Aspire, Microsoft’s opinionated framework for cloud-native development, fundamentally changes this equation. After spending months […]
Read more →Introduction to Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps (Part 1)
Learn about Microsoft Agent Framework (MAF), the unified open-source SDK for building production-ready AI agents. This comprehensive guide covers the architecture, key features, and how MAF combines the best of Semantic Kernel and AutoGen for enterprise agentic AI development.
Read more →Advanced Multi-Agent Patterns: Workflow Orchestration and Enterprise Integration with AutoGen
📖 Part 6 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 5🎉 Series Complete! With production deployment from Part 5, we now explore advanced enterprise patterns for complex workflows. ℹ️ INFO Advanced patterns address the complexity gap […]
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