Vibe-Coding

“I feel faster with AI” is not a measurement. It is a feeling. And feelings can be wrong. Some developers report feeling more productive while actually spending more time — because the back-and-forth with AI feels like progress even when it takes longer than writing the code directly. Others underestimate their gains because they do not track the time AI saves on tasks they used to do manually. This article gives you a framework for measuring AI coding productivity with real data. You will learn what to track, how to track it, and how to calculate whether your AI tools are actually paying off. ...

AI writes code fast. That speed creates a new problem: your git history becomes a mess. You end up with massive commits titled “implement feature,” PRs with 50 changed files, and no way to tell which code a human wrote and which code AI generated. Good git hygiene matters more in an AI-first workflow, not less. This article covers practical git patterns for AI-assisted development — from commit structure to PR workflows to attribution tracking. ...

Welcome to Part 2 of the series. The Quick Builds are done. Now we build real applications — the kind that take a full afternoon and have multiple moving parts. First up: a full-stack blog platform. Not a static site. A real blog with a database, admin panel, markdown editor, authentication, and SEO features. The kind of project that would normally take a weekend. Total time: 3 hours 22 minutes. 7 prompts. A lot of debugging auth. ...

Andrej Karpathy coined “vibe coding” in February 2025. Sixteen months later, it is a $4.7 billion market, a Collins English Dictionary Word of the Year, and the default way most developers work. The pace of change is unprecedented. This article looks at where vibe coding is heading — based on what is already happening today and the trajectory of current trends. These are not wild guesses. They are extrapolations from real products, research papers, and market data. But predictions are predictions — treat them as likely directions, not certainties. ...

Throughout this series, you have learned tools, techniques, and workflows for coding with AI. Now let us step back and look at what all of this means for how we build software — and how we grow as developers. AI-first development is not about using AI as a helper. It is about designing your entire workflow around AI from the start. The shift is real, measurable, and already happening. In 2026, 92% of US developers use AI coding tools daily. The question is no longer whether to use AI — it is how to use it without losing the skills that make you a good developer. ...

This is the last Quick Build in the series. We have built a CLI app, a REST API, a landing page, and a Chrome extension. Now we build something that runs 24/7 and interacts with real users: a Discord bot. Discord bots are a great test for Claude Code because they involve: An external API (Discord API) Event-driven architecture Slash command registration Permission handling Error recovery Deployment for uptime Total time: 71 minutes. Most of that was fighting with slash command registration. ...

Every prompt you send to Claude, GPT, or Gemini goes through the internet to a data center. For most coding tasks, that is fine. But there are real reasons to run AI models locally — on your own machine, with no data leaving your network. This article covers when local models make sense, how to set them up with Ollama, and how to connect them to your existing tools. You will also get an honest comparison of local vs cloud models for coding tasks. ...

Browser extensions are the perfect vibe coding project. They are small in scope, have a clear structure, give you instant visual feedback, and the manifest format is strict enough that AI generates correct configurations most of the time. In this article, you will build a Chrome extension with AI — from the first prompt to publishing on the Chrome Web Store. The tool: Cursor as the primary AI editor. The project: PR Summary — a GitHub pull request summarizer that adds a one-click summary button to PR pages. When you click it, it extracts the PR diff, sends it to an AI API, and displays a plain-English summary right on the page. ...

Chrome extensions are different from anything we have built so far. There is a specific architecture (background scripts, content scripts, popups), a manifest file that Chrome parses, and browser APIs that work differently from regular web APIs. This is a good stress test for Claude Code. Can it handle Manifest V3 correctly? Does it know the Chrome extension APIs? The project: a tab manager extension called “TabFlow” that shows all open tabs, lets you search them, close duplicates, and save sessions for later. ...

Mobile development is where AI tools face their toughest test. Android has complex APIs, Jetpack Compose changes fast, and platform-specific patterns do not always match what AI learned from web development tutorials. In this article, you will build a complete notes app with Kotlin and Jetpack Compose. You will use Claude Code as the primary tool (running alongside Android Studio) and Copilot for inline completions. Every prompt, every AI mistake, and every manual fix is shown. ...