How I Used Harness Engineering to Make Our Company AI-Native
Most companies say they want to “adopt AI”. In practice this usually means a chatbot bolted onto a website. Meanwhile, engineers using AI coding tools hit the opposite wall. The AI writes code fast, b Fuente: Artículo original
Why “It Worked on My Machine” Still Happens in 2026
Every engineering team has said it at least once: “It works on my machine.” The phrase has become a running joke in software, but it’s rarely funny when it happens in production. A feature passes ever Fuente: Artículo original
How to Build a Shadcn Sheet Component in React: Cart and Filter Panel Examples
A Sheet is a panel that slides in from the edge of the screen instead of popping up in the center like a modal. You’ve likely used one when you’ve opened a shopping cart on an e-commerce site or tappe Fuente: Artículo original
How to Integrate AI Agents in .NET Environments for Faster Development
Generative AI agents are transforming .NET development by helping developers automate repetitive coding tasks, generate unit tests, assist with debugging, document code, and accelerate CI/CD workflows Fuente: Artículo original
How to Build and Schedule Local AI Assistants for Daily Tasks
Most AI agents are reactive as they wait for us to ask something. In this tutorial, I’ll show you how to build local AI assistants that run on a schedule, handle the tasks you care about, and generate Fuente: Artículo original
How an LMS Software Helps Technical Teams Upskill Faster
Technology changes faster than almost any other industry. The half-life of technical skills continues to shrink. Frameworks, cloud platforms, AI tooling, and cybersecurity practices evolve so quickly Fuente: Artículo original
How to Turn a Postman Collection into a Maintainable pytest Suite
A Postman collection is a great place to explore an API. But it’s a poor place to keep your tests. Most teams find this out the slow way. Someone exports the collection, converts the requests into tes Fuente: Artículo original
Product Experimentation with Uplift Modeling: Targeting Your LLM Feature Rollout to Users Who Actually Benefit (Python Implementation)
Your LLM product experiment just came back positive, with a promising 8-percentage-point lift in task completion. You ship the feature and leadership celebrates. Three months later, the core metric ha Fuente: Artículo original
How to Build a Browser-Based PDF OCR to Text Converter Using JavaScript
Not every PDF contains searchable or editable text. Many PDFs are simply scanned images of documents such as invoices, contracts, books, receipts, government forms, and handwritten notes. While these Fuente: Artículo original
How to Build Your Own Local AI Agent with Tool Calling and Memory
In this tutorial, I’ll show you how to build a local AI agent with tool calling and short-term memory using LangChain v1, Ollama, Qwen, and Python. The agent decides on its own when to call tools, and Fuente: Artículo original