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 […]
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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 […]
Read more →DIY LLMOps: Building Your Own AI Platform with Kubernetes and Open Source
Build a production-grade LLMOps platform using open source tools. Complete guide with Kubernetes deployments, GitHub Actions CI/CD, vLLM model serving, and Langfuse observability.
Read more →Infrastructure as Code for AI: Terraform Patterns for LLM Deployments
Infrastructure as Code for AI: Terraform Patterns for LLM Deployments Expert Guide to Managing AI Infrastructure with Terraform I’ve managed AI infrastructure across AWS, Azure, and GCP using Terraform. Infrastructure as Code isn’t just about automation—it’s about reproducibility, version control, and managing complex AI deployments consistently. When you’re deploying LLM services, vector databases, and GPU […]
Read more →Deploying Multi-Agent AI Systems to Production: Scaling AutoGen with Kubernetes
📖 Part 5 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 4Part 6 → With RAG-enhanced agents from Part 4, we now deploy multi-agent systems to production using Kubernetes. ℹ️ INFO Single-agent systems are straightforward to deploy. […]
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