What Is Vibe Coding? A Practical Guide to Building Software with AI

Andrej Karpathy coined the term "vibe coding" in February 2025, and it perfectly captured something thousands of developers were already doing — building software by describing what you want and letting AI figure out the implementation.

But vibe coding isn't just "talking to ChatGPT and hoping for the best." Done well, it's a genuine skill that multiplies your output. Done poorly, it's a recipe for spaghetti code and frustration. This guide covers how to do it well.

The Core Idea Behind Vibe Coding

Traditional coding: you think about the problem, design a solution, then translate that solution into code syntax.

Vibe coding: you think about the problem, describe the solution in plain English, and let AI handle the translation to code.

The critical thing most people miss is that you still need to think about the problem and design the solution. AI replaces the typing, not the thinking. The developers who get the most out of vibe coding are the ones who give clear, well-thought-out instructions.

What Vibe Coding Looks Like in Practice

Here's a real example. Instead of writing a React component from scratch:

Create a responsive card grid component that displays blog posts.
Each card should show: featured image (lazy loaded), title as an h3,
category badge in the top-right corner, date and reading time below
the title, and a 2-line description excerpt. Cards should be 3 columns
on desktop, 2 on tablet, 1 on mobile. Use CSS Grid, not flexbox.
Match the existing Tailwind classes used in the rest of the project.

The AI produces a working component. You review it, test it, tweak the spacing, and move on. What would have taken 30 minutes took 5.

The Vibe Coding Spectrum

Not all vibe coding is the same. Think of it as a spectrum:

Level 1: Prompt and Pray

You paste a vague request into an AI chat, copy the output, and hope it works. This is what most people do. It's fragile and produces inconsistent results.

Level 2: Guided Generation

You give detailed specifications, review the output, and iterate. You understand the code the AI produces and can spot issues. This is where most productive developers operate.

Level 3: Agentic Development

You use AI coding tools like Claude Code, Cursor, or Windsurf that have access to your full codebase. The AI understands your project structure, dependencies, and patterns — and writes code that fits in naturally. This is the most powerful level.

Aim for Level 2 minimum. Aspire to Level 3.

Tools for Vibe Coding

The tooling has exploded in the past year. Here are the main categories:

AI-Native IDEs

• Cursor — VS Code fork with deep AI integration
• Windsurf — Codeium's agentic IDE
• Google Antigravity — Google's VS Code fork with Gemini

Terminal-Based Agents

• Claude Code — Anthropic's CLI agent that works in your terminal
• GitHub Copilot CLI — GitHub's terminal assistant

Chat-Based

• Claude.ai — Great for planning and generating code snippets
• ChatGPT — Solid for quick code generation
• Gemini — Good for research-heavy coding tasks

For serious vibe coding, you want something in the first two categories — tools that can see and modify your actual codebase.

5 Principles for Effective Vibe Coding

1. Start with Architecture, Not Code

Before asking AI to write anything, describe the overall structure. What components do you need? How do they connect? What data flows where?

Before writing any code, plan the architecture for a URL shortener:
- What routes do we need?
- What's the data model?
- How do we generate short codes?
- What about analytics tracking?

2. Be Specific About Constraints

Vague prompts produce vague code. Specific prompts produce specific code.

# Bad
Make a login page

# Good
Create a login page with email/password fields.
Use our existing Form component from src/components/ui/Form.tsx.
Validate email format client-side.
Show inline error messages below each field.
Submit to POST /api/auth/login.
Redirect to /dashboard on success.

3. Review Everything

Never blindly accept AI-generated code. Read every line. Ask yourself:

• Does this handle edge cases?
• Are there security implications?
• Does it match our project's patterns?
• Is it adding unnecessary complexity?

4. Iterate in Small Steps

Don't try to build an entire feature in one prompt. Break it down:

1. First, create the data model
2. Then, build the API endpoint
3. Next, create the UI component
4. Finally, wire everything together

Each step is easier to review and debug.

5. Learn from the Output

The best part of vibe coding is that you learn new patterns constantly. When AI uses an approach you haven't seen before, understand it. When it uses a library function you didn't know existed, look it up.

Want to go deeper? Check out my guide on setting up Claude Code for maximum productivity — the best agentic coding tool I've used. Read the Claude Code Setup Guide →

Common Mistakes to Avoid

Mistake 1: Not reading the generated code. If you can't explain what the code does, you can't maintain it. Always read and understand the output.

Mistake 2: Over-prompting. Sometimes a 2-sentence prompt is better than a 20-sentence one. If you're spending more time writing the prompt than the code would take, just write the code.

Mistake 3: Ignoring tests. Vibe coding makes it easy to generate a lot of code fast. That code still needs tests. Ask the AI to write tests alongside the implementation.

Mistake 4: No version control. Commit frequently when vibe coding. If the AI takes your code in a bad direction, you want a clean rollback point.

Frequently Asked Questions

Will vibe coding replace traditional programming?

No. Vibe coding is a tool, not a replacement. You still need to understand programming concepts to give good instructions, review output, and debug issues. Think of it as a power tool — it makes experts faster, not amateurs into experts.

Do I need to know how to code to vibe code?

You can build simple things without coding knowledge, but you'll hit a wall quickly. Understanding fundamentals like variables, functions, APIs, and data structures makes you dramatically more effective at vibe coding.

Which AI tool is best for vibe coding?

It depends on your workflow. For full project development, Claude Code or Cursor are currently the strongest. For quick scripts and snippets, any AI chat works fine. Try a few and see what clicks for you.

Is vibe-coded software production-ready?

It can be, with the same caveats as any software. You need code review, testing, and monitoring. The code generation method doesn't determine quality — your review process does.

Key Takeaways

• Vibe coding means describing what you want and letting AI write the code — but you still need to design the solution
• Aim for Level 2 (guided generation) or Level 3 (agentic development) on the vibe coding spectrum
• Be specific in your prompts, review everything, and iterate in small steps
• The best vibe coders understand code deeply — AI amplifies skill, it doesn't replace it

Ready to Start Vibe Coding?

The best time to start was six months ago. The second best time is now. Pick a small project, grab an AI coding tool, and build something. You'll be surprised how fast you move. Try Claude Code Free →