With your Azure AI Foundry development environment properly configured, you are ready to build your first autonomous agent using Semantic Kernel. This article provides comprehensive
Tag: node.js
Azure AI Foundry Foundation Setup: Complete Development Environment Guide (Part 2 of 8)
Building production-ready agentic AI systems on Azure AI Foundry requires proper foundation setup across your development environment, Azure infrastructure, and security configuration. This article provides
Building Autonomous AI Agents with Model Context Protocol
Learn to build production-ready autonomous AI agents with Model Context Protocol. Complete implementation guide covering Python, Node.js, and C# with OAuth 2.1 security patterns, rate limiting, and enterprise deployment strategies.
Complete Guide to Claude Agent Skills: Part 4 – Integrating Skills with Claude API
Master Claude Agent Skills API integration with comprehensive code examples in Node.js, Python, and C#. Learn skill management, container reuse, multi-turn conversations, prompt caching, error handling, and production best practices for enterprise applications.
Complete Guide to Claude Agent Skills: Part 3 – Advanced Skill Development Patterns
Master advanced Claude Agent Skills development with progressive disclosure patterns, multi-file organization, and executable scripts. Learn how to build production-grade skills with reference files, optimize performance, and implement complex workflows efficiently.
Complete Guide to Claude Agent Skills: Part 2 – Creating Your First Custom Skill
Learn how to create your first Claude Agent Skill with this hands-on tutorial. Includes complete code examples in Node.js, Python, and C#, step-by-step instructions for uploading to Claude.ai and API integration, and best practices for testing and validation.
Building Production-Ready Claude Skills: A Complete Guide to Extending AI Capabilities with Custom Workflows
Learn how to build production-ready Claude Skills that extend AI capabilities through modular, filesystem-based components. This comprehensive guide covers architecture principles, implementation in Node.js, Python, and C#, API integration, and real-world enterprise use cases.
Multi-Language Edge Inference Servers: Building REST APIs for Real-Time Object Detection
Comprehensive guide to building production-ready multi-language inference servers for edge AI. Covers Node.js/Express and C#/ASP.NET Core implementations, camera integration for live streams, asynchronous request handling, error recovery mechanisms, and load testing achieving 15-22ms latency with 30+ concurrent requests on Jetson platforms.
Azure AI Foundry with Anthropic Claude Part 3: Building Your First Node.js Application – Complete Implementation Guide
Comprehensive guide to building production-ready Node.js applications with Claude in Azure AI Foundry. Learn environment setup, TypeScript configuration, basic and advanced chat implementations, Entra ID authentication, multi-turn conversations, streaming responses, error handling with exponential backoff, cost optimization through prompt caching, and complete application examples.
Claude Sonnet 4.5: A Comprehensive Guide to Anthropic’s Most Powerful Coding Model
Explore Claude Sonnet 4.5, Anthropic’s most powerful coding model with 30+ hour autonomous operation, 77.2% SWE-bench score, and comprehensive API integration examples in Python, Node.js, and C#.
