If you’ve been anywhere near tech conversations lately, you’ve probably heard someone say vibe coding. Collins English Dictionary made it their Word of the Year for 2025. It’s showing up in conference talks, Twitter threads, casual Slack conversations. But if you’re still a little fuzzy on what it actually means, that’s fair. The term moved faster than most people could keep up with.

The short version: vibe coding is building software by describing what you want to an AI instead of writing code yourself. This guide covers where the term came from, what it looks like when someone actually does it, and how to try it yourself.

Where the Term Came From

Andrej Karpathy coined it in February 2025. He co-founded OpenAI and led the Autopilot vision team at Tesla as Senior Director of AI, so when he says something about how software gets built, people tend to pay attention.

“There’s a new kind of coding I call ‘vibe coding’, where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.”

His workflow was almost disarmingly simple. Start with a rough idea, describe it to an AI in plain English, let it write all the code, run it, see what happens. If something broke, he’d tell the AI what to fix. Back and forth, prompt by prompt, until the thing worked.

By the end of 2025, vibe coding had gone from a tweet to a dictionary entry.

How It Works

Traditionally, building software means writing code line by line. Vibe coding flips that around:

  1. Describe what you want — Tell the AI in plain language. Be specific about features, design, behavior.
  2. AI writes the code — Your tool of choice (Claude Code, Cursor, Copilot, etc.) generates the implementation.
  3. Review and iterate — Run it, see what’s off, give feedback through follow-up prompts, keep refining.

You stop worrying about syntax and start thinking about what you actually want to exist. The AI handles the code. You steer.

What Tools Are People Using?

There are several solid AI development tools right now. You don’t need to try all of them.

  • Claude Code — Anthropic’s command-line AI agent. Works across entire projects through natural language.
  • Cursor — AI-native code editor built on VS Code. Inline generation and chat-driven development.
  • GitHub Copilot — AI pair programmer for code completion and chat across most editors.
  • ChatGPT — Good for planning, generating snippets, and learning through back-and-forth dialogue.
  • Windsurf — AI editor combining chat and inline editing into flows.
  • Replit AI — Browser-based IDE with built-in AI. Prompt, build, and deploy without leaving your tab.
  • Gemini Code Assist & Firebase Studio — Google’s AI coding tools for prototyping and full-stack work.

The differences between these matter less than you’d think, especially when you’re starting out. Pick whichever one looks least intimidating and build something with it. You can always switch later.

Do You Need to Know How to Code?

No. That’s kind of the whole point.

If you can describe what you want clearly, you can build with AI. That said, knowing some programming basics does help. It makes it easier to review what the AI generates, spot potential bugs, give better follow-up prompts, and troubleshoot when something doesn’t behave the way you expected.

A lot of people actually use vibe coding as a way to learn programming. You describe something, the AI writes the code, and you start noticing patterns in what it produces. Over time, you pick up how things work just from reading the output. The AI writes the first draft, and you absorb the logic by reviewing it.

What Can Go Wrong

There are real downsides worth knowing about:

  • Blind trust — Accepting AI-generated code without understanding what it does leads to bugs and security holes. This happens more often than people like to admit.
  • Hallucination — AI models sometimes generate code that looks perfectly reasonable but flat-out doesn’t work. This tends to get worse the longer a conversation goes on.
  • Maintenance debt — If you can’t read the code, you can’t fix it when something breaks six months from now. And something always breaks six months from now.
Key takeaway

Vibe coding works best when you stay engaged with the output. Use AI to build faster, but always review what it produces. The goal is collaboration, not blind delegation.

Getting Started

If you want to try this, the lowest-friction path looks like:

  1. Pick a tool — If you’re brand new, try ChatGPT or Replit AI. Both are free to start, both work in the browser, no installation required.
  2. Start small — Describe something simple: “Build me a dark-themed to-do list with HTML, CSS, and JavaScript.”
  3. Iterate — When you see the result, give feedback: “Make the buttons rounded. Add a delete button. Save tasks to localStorage.”
  4. Ship it — Deploy your project. It doesn’t need to be perfect. It needs to exist.

Describe what you want, let AI build it, tweak it until you’re happy, put it online. You’ll probably be surprised how fast something real comes together, and how much you learn along the way.