Optimize Node.js 22 REST APIs with connection pooling, TypeScript strictness, and query optimization. Practical patterns for scaling database throughput.
Real-Time AI Chat in React: Streaming & Performance
Build production-ready AI chat UIs in React. Learn streaming responses, state management, error handling, and performance optimization patterns.
Build Lightweight AI Agents with Python and Anthropic SDK
Learn to build production-ready AI agents in Python using Anthropic's SDK without heavy frameworks. Includes tool use, streaming, and real-world patterns.
Agentic AI Council for Government Decisions
Build auditable multi-agent AI systems for regulated decisions. Specialist agents deliberate, an AI Judge certifies, every step is recorded.
Conversational Feedback Loops in .NET Multi-Agent Systems: Back-Edges and Context-Aware Handoffs
Learn how to implement back-edges and EnableReturnToPrevious() in Microsoft Agent Framework for context-aware agent handoffs without restarting workflows.
Agent Handoff Patterns in .NET: Sequential Routing and State Transfer
Implement multi-agent handoff patterns in Microsoft Agent Framework. Learn sequential routing, triage agents, and conversation context transfer for complex agentic AI workflows.
Model Routing & Fallback in Microsoft Agent Framework
Configure multi-model LLM backends with Microsoft Foundry. Implement fallback chains, cost-aware routing, and outage handling in .NET agents.
Open Knowledge Format in .NET: Building Portable Agent Knowledge
Learn how OKF enables portable, vendor-neutral knowledge systems for AI agents in .NET. Technical architecture, implementation patterns, and enterprise integration.
Streaming AI Agent Responses in .NET with Server-Sent Events
Learn to stream AI agent responses in real-time using SSE and .NET. Reduce latency, handle backpressure, and deliver tokens as they're generated.
Building MCP Clients in .NET: Consuming External AI Tools
Learn to build .NET MCP clients that discover, connect to, and orchestrate external AI agent tools. Practical patterns for distributed agentic systems.