Articles about vibecoding, AI tools, and modern software development.
A practical snapshot of the Ollama models worth running locally this year, with honest minimum system requirements — CPU, RAM, GPU VRAM, disk — from someone who has actually hit the out-of-memory errors.
A simple heuristic for knowing when the AI is going to keep missing the mark — and when it's on you to stop typing and start reading.
Twelve months of shipping with AI-first workflows, distilled into the things nobody tells you in the tutorials.
How I ditched PowerPoint for Marp — writing decks as Markdown files that live in the repo, version with git, and rebuild in CI.
Why the artifacts that survive — READMEs, Markdown decks, config files — are the ones you can open in any editor, diff in git, and grep from the command line.
A decision framework for the moment every vibecoder faces: is this code good enough to keep, or should I scrap it and try again?
The biggest skill in vibecoding isn't writing prompts — it's reading the diff the model hands back and catching the things it quietly got wrong.
Every copy-paste feels like a time save. Six months later, it's a refactor waiting to happen. Here's what accumulates when you skip the review step.
Every LLM has a context limit, and hitting it is the number one reason your vibecoding sessions start going sideways. Here's how to spot it and work around it.
A hands-on ranking of the top local models for code generation, review, and debugging — tested on real vibecoding tasks with Ollama.
Set up Stable Diffusion on your own PC for free, unlimited AI image generation — no subscriptions, no watermarks, no usage limits.
How we built RnR Vibe — a full AI platform running on a single laptop with Ollama, Stable Diffusion, and Next.js. No cloud bills.
Practical strategies for effective AI pair programming — when to lead, when to follow, and how to get the best results from your AI coding partner.
10 realistic side project ideas you can build in a weekend using AI-assisted development — from useful utilities to portfolio pieces.
Stop staring at error messages — learn how to use AI to diagnose and fix bugs in minutes instead of hours.
A behind-the-scenes look at building a full vibecoding platform using AI-assisted development — the actual prompts, process, and lessons.
A comprehensive look at where vibecoding stands in 2026 — the tools, trends, and what's changed since AI coding went mainstream.
A practical comparison of running AI models locally vs using cloud APIs for development — covering cost, latency, privacy, and quality.
A practical framework for reviewing AI-generated code — what to check, common pitfalls, and how to build confidence in your vibecoded projects.
Advanced prompt techniques that most vibeccoders miss. Learn how to write prompts that produce production-ready code on the first try.
How to set up a complete vibecoding workflow — from prompt templates to project structure to review processes.
You don't need a CS degree to build software anymore. A practical guide for designers, marketers, and founders who want to build with AI.
A practical checklist for reviewing AI-generated code before shipping — covering security, performance, correctness, and maintainability.
How to go from business idea to working product using vibecoding — no CS degree required. A practical guide for founders.
An honest breakdown of the top AI coding tools in 2026 — what they're best at, what they cost, and which one fits your workflow.
How to prompt AI for genuinely good UI design — not just functional layouts, but interfaces that feel polished and professional.
Run AI models on your own hardware with Ollama — no API keys, no costs, no data leaving your machine. Here's how to get started.
Most vibecoding fails come from vague prompts, skipping reviews, and blind trust in AI output. Here's how to fix that.
How to make your first open-source contribution using AI tools — from finding issues to writing PRs that get merged.
You've built something with AI. Now what? A step-by-step checklist to go from prototype to production-ready application.
Vibecoding isn't a replacement for traditional development — it's a different tool for different jobs. Here's when each approach shines.
Practical tips to get better results when vibecoding with AI assistants.
Cautionary tales from the vibecoding world — real examples of AI-generated code that caused problems, and the lessons learned.
A roundup of the best AI-powered tools for vibecoding — from code editors to CLI assistants.
An introduction to vibecoding — the art of building software by describing what you want in natural language and letting AI handle the syntax.