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.
Tag: Python
Azure AI Foundry with Anthropic Claude Part 4: Python Implementation with Azure SDK – Complete Async Guide
Python’s rich ecosystem and async capabilities make it an excellent choice for building AI applications with Claude in Azure AI Foundry. This comprehensive guide demonstrates
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#.
Azure Monitor with OpenTelemetry Part 4: Python Applications with OpenTelemetry and Azure Monitor
Instrument Python Flask and FastAPI applications with Azure Monitor OpenTelemetry Distro for comprehensive observability. Learn automatic instrumentation, custom spans with tracers, custom metrics, logging integration, database tracking, and production configuration patterns.
Model Context Protocol Part 2: Building Your First MCP Server with Python and FastMCP
Learn to build production-ready MCP servers with Python and FastMCP. Step-by-step guide covering tools, resources, database integration, error handling, testing, and Claude Desktop integration with complete working examples.
Building Custom MCP Servers on Azure
In the previous posts, we explored the Model Context Protocol as a universal standard and examined how Microsoft’s Azure MCP Server enables AI agents to
Python Flask: A Beginner’s Guide to Building Web Applications
If you have ever wondered how websites work behind the scenes or wanted to build your own web application, you are in the right place.
Azure AI Foundry in 2025: Building Your First AI Agent in 30 Minutes – Part 3
Write production-ready code for your Azure AI Foundry agent. Part 3 covers Python, Node.js, and C# implementations with error handling, retry logic, configuration management, and local testing.
Hand Tracking Made Easy: Build Gesture Recognition Apps with MediaPipe in Python
Master MediaPipe’s hand tracking capabilities with Python. Learn to build gesture recognition apps, count fingers, detect pinch gestures, and create interactive applications with real-time hand landmark detection.
Getting Started with MediaPipe: Your Complete Beginner’s Guide to Real-Time Computer Vision
Learn how to get started with Google’s MediaPipe framework for real-time computer vision. This beginner-friendly guide covers installation, basic concepts, and building your first hand detection application.
