Running large language models (LLMs) on your local machine has become increasingly popular for privacy, cost-efficiency, and performance. While cloud-based solutions like Azure or Google Cloud offer powerful computation, they often come with costs and dependency on internet connectivity. Fortunately, tools like Ollama and LM Studio make it easier than ever to run LLMs locally, without requiring a developer's degree. In this guide, we’ll walk you through the easiest way to set up these tools and suggest the best models based on your device’s hardware.
Let’s be real. Not every project needs a heavyweight database system like PostgreSQL or MySQL. In fact, **90% of the time**, you’re better off keeping it simple. And for me? I use **SQLite** in most of my personal projects. Here’s why.
Claude Code isn’t just an AI assistant for writing code. Used right, it’s your research buddy, pair programmer, test writer, and dev-ops tool, all rolled into one. But to get the most out of it, you need the right workflow. In this guide, we’ll walk through the **optimal Claude Code pipeline**. From setting it up to automating repetitive tasks and scaling with multiple agents.
I kept hearing about **vibe coding** all over the place. AI writing your code. Projects done faster. It sounded cool. Productive. Trendy. So I thought, why not?
In the world of product development, clear communication is the cornerstone of success. Whether you're launching a new app, redesigning a service, or iterating on an existing product, a **Product Requirements Document (PRD)** serves as the blueprint that aligns everyone from stakeholders to developers. This blog will explain what a PRD is, why it’s essential, how to create one from scratch, and how to leverage **LLMs (Large Language Models)** like myself to draft detailed PRDs efficiently.
Discover how Microsoft’s NLWeb transforms websites into intelligent conversational agents. Learn its open-source architecture, benefits for developers, and how it powers the next-generation agent-friendly web.
When building modern web applications, the choice between React and Next.js often comes up. While Next.js is a powerful framework built on top of React, it’s not always the best fit for every project. In this article, we’ll explore when React alone is sufficient and why Next.js might not always be the ideal choice, helping you make an informed decision based on your project’s needs.
In the ever-evolving world of frontend development, choosing the right tool for your project can make all the difference. While React and Vue.js have become the go-to frontend frameworks for building dynamic user interfaces, there’s another category of tools that’s gaining traction: meta frameworks like Next.js (built on React) and Nuxt.js (built on Vue). These meta frameworks offer additional features like server-side rendering (SSR), static site generation, and built-in routing, making them ideal for certain project types. Let’s break down the differences and help you decide when to use a front-end framework versus a meta framework.
Microsoft is quietly changing how Windows works under the hood, and the new kid on the block is MCP. But what is it? And why should end users and developers care?
JavaScript keeps evolving. Every year, the ECMAScript standard (aka “ES”) gets updates. And ES2025 is here with a fresh set of features. Some updates are small quality-of-life improvements. Others change the way we write code. Here’s a breakdown of what’s new, why it matters, and how you can start using these features today.
Big news just dropped. Swift, Apple’s beloved programming language, is _officially_ making its way to Android. Yes, _that_ Swift. The same language powering millions of iOS apps. The same one developers have tied closely to the Apple ecosystem for nearly a decade. So… what does this mean for the future of mobile development?
In the world of API development, choosing the right tool for your project can make a significant difference in performance, maintainability, and scalability. REST, GraphQL, and gRPC are three popular approaches to building APIs, each with its own strengths and ideal use cases. Let’s dive into a practical breakdown of when to choose each.