Tecnología Microsoft en general: C#, .NET, ASP.NET, Azure, Kubernetes, DevOps, UWP y mucho más.
Empecé un libro sobre gestionar el tiempo con la técnica Pomodoro y tardé casi trece años en terminarlo. Lo que cuesta escribir un libro técnico a mano, lo que se aprende cuando la plataforma desaparece a mitad de camino y por qué De 0 a N con Task[in] por fin está publicado, gratis y en abierto.
Tendero is an AI-native, agent-ready ecommerce platform in .NET 11 and Angular 22: self-hosted with Docker, open source, and built with Claude Code.
TL;DR: A statusline.sh script turns the Claude Code status bar into a live readout of your model, context usage and — the good part — exactly how long until your 5-hour and weekly limits reset. Introduction I have been using Claude Code for a while now, and until a few days ago — right before … Sigue leyendo [TIP] Claude Code Status Line: Your Token Limits at a Glance
Introduction In our previous article "Building a RAG API with .NET, Semantic Kernel, Phi-3 and Qdrant", we focused on setting up a local Retrieval-Augmented Generation (RAG) API with minimal dependencies on external services. One key piece of that architecture, which we only briefly touched upon, is the embedding service. In this follow-up, we'll dive deeper … Sigue leyendo Implementing Embeddings via ONNX with Semantic Kernel for Local RAG Solutions in .NET
Introduction Writing effective unit tests is a crucial part of professional software development, especially in modern .NET projects. Lately, I have been refining my approach to unit testing by leveraging GitHub Copilot and the new Copilot Agents feature in Visual Studio Code. Instead of manually writing every test, I discovered a powerful workflow where AI … Sigue leyendo Automate Unit Tests in .NET with GitHub Copilot Agents: Prompt, Iterate, and Win!
Learn how to build a powerful RAG (Retrieval-Augmented Generation) API using .NET, Microsoft Semantic Kernel, Phi-3, and Qdrant. Combine your private e-commerce data with LLMs to create smarter, grounded responses. Simple and easy step-by-step! Introduction In previous articles we explored the power of Phi-3 for image analysis and automating e-commerce product descriptions. Now, let's take … Sigue leyendo 🚀 Building a RAG API with .NET, Semantic Kernel, Phi-3, and Qdrant: Enrich Your E-commerce Experience
Learn how to create a custom MCP (Model Context Protocol) server with .NET and integrate it into Visual Studio Code. Step-by-step guide with a simple code example. Introduction As GitHub Copilot and AI-powered agents become key components of modern development workflows, integrating custom logic into your IDE is more valuable than ever. Model Context Protocol … Sigue leyendo Extend GitHub Copilot in VS Code with Custom .NET Tools via MCP
In the highly competitive world of e-commerce, the quality and accuracy of product descriptions can make the difference between a successful sale and an abandoned cart. Detailed, attractive, and well-written descriptions not only inform customers but also enhance your site's SEO, driving more organic traffic. In this post, I'll demonstrate how you can automate the … Sigue leyendo Automate E-Commerce Product Descriptions with .NET, Microsoft Semantic Kernel & SLM (Phi-3)
In this blog post, we'll explore how to leverage the new Phi-3 Vision model within a .NET application. I'll walk you through the entire process from downloading the model to writing and executing the code. Step 1: Download the Phi-3 Model To get started, we need to download the Phi-3 Vision model using the huggingface-cli … Sigue leyendo Image analysis with «Phi-3 Vision»
