Bruno Capuano, conocido como “El Bruno”, es un Cloud Advocate en Microsoft que comparte en su blog guías y reflexiones sobre Azure, programación .NET, inteligencia artificial, y la intersección entre negocios y tecnología. En su sitio encontrarás artículos técnicos profundos, ejemplos de código en C#, análisis de rendimiento, demos de IA local y contenido dedicado a desarrolladores que desean llevar sus aplicaciones al siguiente nivel. Su estilo es directo, con voz experta y orientado a solucionar problemas reales en entornos
33 articles from this blog
Learn how to use C# to connect to Hugging Face MCP Server and generate AI images through a step-by-step technical tutorial.
Learn to auto-generate architecture diagrams and docs for .NET Aspire projects using GitHub Copilot, Mermaid, and AI agents.
A developer documents how AI agents built a complete shopping cart feature for an e-commerce app, from requirements to code, without manual programming.
A guide on implementing SQL Server 2025's new vector search capabilities in a .NET Aspire application using the eShopLite sample project.
Testing GPT-4o's new image generation feature using C# and the Microsoft.Extensions.AI library, with a practical coding example.
A guide on using LLMs like Llama 3.2 Vision with .NET to automatically generate descriptive alt text for images, improving web accessibility.
A tutorial on implementing a local RAG system using Phi-3, Semantic Kernel, and TextMemory in a C# console application.
A .NET code sample extending Semantic Kernel's Azure OpenAI integration to show document source details from Azure AI Search.
Sample code and review of the new official OpenAI SDK for .NET, including chat, audio, and image analysis demos.
A guide on using Microsoft's Phi-3 Small Language Model with C# and Semantic Kernel for local AI applications.
A technical guide demonstrating how to use Semantic Kernel with the new GPT-4o model for image analysis, including a sample C# project.
A guide to using API Manifest Plugins with Semantic Kernel to streamline OpenAI LLM function calling and integrate third-party APIs more efficiently.
Guide to running local LLMs like Llama3 and Phi-3 on a Raspberry Pi 5 using Ollama for private, cost-effective AI.
