Beginner’s Guide to Vibe Coding

This beginner’s guide to vibe coding covers everything you need to know about the fast-growing approach to building software that’s been named Collins Dictionary’s Word of the Year for 2025. If you’ve ever wished you could create an app or website without spending years learning to code, Vibe Coding can make it possible to build prototypes with far less traditional coding knowledge – though you still need to test and validate the results.

Whether you’re completely new to technology or simply curious about this trend, this Zinn Hub guide will explain what vibe coding is, how it works, how to get started, and what to watch out for.

What Is Vibe Coding?

Vibe coding is a way of creating software by describing to AI what you want in plain English, rather than writing traditional computer code. You tell an artificial intelligence (AI) tool what you’d like to build, and it generates the code for you.

The term was introduced by Andrej Karpathy, former Director of AI at Tesla and an early engineer at OpenAI, in February 2025. He described it as an approach where you “fully give in to the vibes, embrace exponentials, and forget that the code even exists.”

In simpler terms: you focus on what you want to create, and the AI handles how to build it.

The Vibe Coding Golden Rule

Before we go further, there’s one principle you must understand:

The AI assistant can write code, but it cannot take responsibility for correctness. That part stays with you.

Vibe coding isn’t “type a prompt, deploy whatever comes out.” The “vibe” is the flow: quick loops, high leverage, and less friction – but you still need to test, verify, and take ownership of the result. The AI is a powerful tool, not a replacement for your judgement.

A Simple Example of Vibe Coding

Imagine you want to create a simple to-do list app. Traditionally, you’d need to learn a programming language, understand how databases work, and spend hours writing and debugging code.

With vibe coding, you might simply type: “Create a to-do list app where I can add tasks, mark them as complete, and delete them.” The AI generates all the necessary code, and within minutes, you have a working application.

How Does Vibe Coding Work?

The process follows a straightforward back-and-forth conversation with an AI tool:

• Define what “done” looks like – Before you prompt, be clear about what you want: what’s the feature, what are the inputs and outputs, and how will you know it’s working?
• Ask for a plan first – Rather than jumping straight to code, ask the AI to propose an approach, explain trade-offs, and outline what it intends to build. This makes you the reviewer, not just the recipient.
• Generate code in small chunks – request one piece at a time: one component, one feature, one section. Small chunks are easier to test and understand.
• Test it immediately – Run the application to see if it works as expected. Don’t wait until everything is “finished”.
• Refine with feedback – If something isn’t quite right, tell the AI what needs changing. For instance: “The buttons are too small – make them bigger” or “Add error handling for when the file is missing.”
• Repeat until you’re satisfied – Continue this conversation until the application meets your standards.

This cycle of planning, generating, testing, and refining is the heart of vibe coding. The key difference from simply accepting AI output is that you remain in control at every step.

What Tools Can I Use To Vibe Code?

Several tools have emerged to make Vibe Coding accessible, even if you’ve never written a line of code in your life. Here are the main options:

For Complete Beginners (No Coding Experience Needed)

• Bolt – A browser-based tool where you describe your app idea and watch it come to life. Perfect for simple web applications and personal projects.
• Lovable – Similar to Bolt, this tool lets you create functional web apps through conversation. It’s designed specifically for people without technical backgrounds.
• Replit – Offers a friendly environment where you can describe what you want and see the results immediately. It also lets you share your creations easily.
• Claude Opus 4.5 – Anthropic’s most advanced AI model, capable of generating, explaining, and refactoring code through natural conversation. Available via claude.ai or the Claude API.
• ChatGPT – OpenAI’s widely-known AI assistant, capable of generating, explaining, and debugging code through natural conversation. Free tier available at chat.openai.com. A familiar starting point for many beginners.

For Those Wanting More Control

• Cursor – An AI-enhanced code editor popular with developers. It combines traditional coding tools with the ability to use natural language prompts.
• GitHub Copilot – Works inside existing code editors and acts as an AI assistant, suggesting and generating code as you work.
• Google’s Gemini Code Assist — Google’s offering for AI-assisted development, available within popular coding tools.
• Claude Opus 4.5 – Anthropic’s most advanced model, favoured by developers for complex, multi-file projects. Its 200K context window means it can hold an entire codebase in memory at once. Available at claude.ai or via API integration with tools like Cursor and Aider (where it’s often the default). Particularly strong at understanding existing code, detailed explanations, and maintaining consistency across large projects.

Your Starter Kit: Essential Vibe Coding Tools

Even if you’re using a browser-based tool, understanding these building blocks will help you work more safely and effectively:

• Version control (Git) – Saves snapshots of your work so you can undo mistakes. Many Vibe Coding tools (such as Replit) have this built in, but it’s worth understanding the concept: commit early, commit often.
• A way to test – Even a simple check that your application does what you expect is valuable. Tests catch problems before they become disasters.
• Secure habits for secrets – Never paste passwords, API keys, or private data into prompts. Use placeholders like “[YOUR_API_KEY_HERE]” instead.
• A simple, well-documented framework – If you’re choosing a technology stack, pick something mainstream with strong documentation. The AI’s suggestions will be more accurate for popular tools.

You don’t need a fancy setup to start, but these habits will save you trouble as your projects grow.

Getting Started: Your First Vibe Coding Project

Ready to try vibe coding for yourself? Here’s a simple step-by-step guide:

Step 1: Choose a Tool

For your first project, we recommend using Claude. It’s easy to get started and work directly in your browser – no downloads or installations required. (Check current pricing, as plans may change.)

Step 2: Start with Something Simple

Don’t try to build a complex application straight away. Good first projects include:

• A personal homepage or portfolio
• A simple quiz or trivia game
• A countdown timer for an event
• A recipe collection page
• A basic calculator

Step 3: Write a Clear Description

The clearer your description, the better your results. Compare these two prompts:

• Vague prompt: “Make me a website.”
• Better prompt: “Create a personal homepage with my name ‘Sarah’ as the title, a short paragraph introducing myself as a freelance graphic designer, and three links to my portfolio, LinkedIn, and email.” Use pink, white and red colour theme.

Step 4: Ask for a Plan

Before generating code, ask the AI to explain its approach:

“Before you build this, outline what you’re going to create: what files, what components, and how they’ll work together.”

This helps you understand what’s coming and catch problems early.

Step 5: Test and Refine

Once the AI generates your application, try it out. Click every button, test every feature. When you find something that isn’t right, describe the problem clearly:

• “The background colour is too dark – change it to light blue.”
• “Add a fourth link for my Instagram profile.”
• “Make the text larger and easier to read on mobile phones.”

Step 6: Share Your Creation

Many vibe coding tools (including Bolt, Lovable, and Replit) make it easy to publish your creation and share it via a web address.

Practical AI Prompting: Templates That Work

Here are some prompt templates you can adapt for your own projects:

Starting a New Feature

“You are a senior engineer. Propose an implementation plan for [describe your feature]. Include: what files you’ll create, what the main components will do, how errors will be handled, and how we’ll test it works. Keep the plan under 15 bullet points.”

Generating Code with Constraints

“Now implement step 1 only. Constraints: keep it simple, include comments explaining what each part does, and add a basic test. If you’re unsure about anything, say so and suggest how to verify.”

Debugging a Problem

“Here’s the error I’m seeing: [paste the error]. Explain what’s causing it, propose a fix, and show me the smallest change needed. After that, suggest one test to prevent this happening again.”

Improving Existing Code

“Refactor this code to make it easier to read, without changing what it does. Provide: (1) a short explanation of changes, (2) the updated code, and (3) how to verify the behaviour is unchanged.”

What Can You Build As A Vibe Coder?

Being a Vibe Coder works well for many types of projects:

• Personal tools – Apps that solve your specific problems, like a meal planner or expense tracker
• Simple websites – Portfolio pages, landing pages, or personal blogs
• Prototypes – Quick mockups to test whether an idea works before investing more time
• Learning projects – Experiments to understand how software works
• Internal business tools – Simple applications for your team or workplace

New York Times journalist Kevin Roose described using AI tools to create what he called “software for one” – personal applications such as LunchBox Buddy, which suggested packed-lunch ideas based on fridge contents. These aren’t products for the masses; they’re bespoke utilities tailored to individual needs.

The Vibe Coding Limits: What You Need to Know

Vibe coding is genuinely powerful, but it’s important to understand its limitations before diving in.

AI Hallucinations

AI tools can confidently invent things that don’t exist! Function names that aren’t real, settings that don’t work, or behaviours that sound plausible but are completely wrong. The AI doesn’t know it’s making things up; it presents everything with the same confidence.

What this means for you: Never assume the AI is correct! Test everything, and if something seems odd, verify it against official documentation or by simply running the code.

Security Concerns

AI-generated code can contain security flaws. In Veracode’s 2025 GenAI Code Security testing, models selected an insecure implementation in 45 per cent of curated tasks when prompts didn’t explicitly require secure patterns. Semafor reported that a Replit employee scanned 1,645 Lovable-built applications and found 170 with a database misconfiguration that could expose user data.

What this means for you: Vibe coding is great for personal projects and experiments, but think carefully before using it for anything involving sensitive information like passwords, payment details, or personal data.

The “Vibe Coding Hangover”

Fast Company magazine reported on what they called the “vibe coding hangover” – the realisation that software built without understanding often contains hidden problems that surface later. When something breaks, you may struggle to fix it because you don’t understand how it works.

Maintenance Challenges

Code generated by AI can be messy and difficult to modify later. Professional developers have described significant challenges when trying to update or extend vibe-coded applications.

Licensing and Compliance

If you’re building something for work or for others, be aware of your organisation’s policies around AI-generated code. Some companies have specific rules about what tools can be used and how AI-generated content should be reviewed.

When Things Go Wrong

There have been notable failures. Jason Lemkin, founder of a major software conference, documented his experience when an AI coding tool deleted an entire database despite being explicitly told not to.

Security Basics You Shouldn’t Skip

If your application handles user data, passwords, payments, or file uploads, here are the essentials:

• Validate inputs on the server – Don’t rely only on browser-side checks; they can be bypassed.
• Never paste secrets into prompts – API keys, passwords, and private data should stay out of your conversations with AI tools. Use placeholders instead.
• Store secrets securely – Use environment variables or a secrets manager, never hard-code them into your application.
• Add rate limiting – For anything that could be abused (login forms, contact forms), limit how often someone can submit.
• Keep things updated – If your project uses external libraries, keep them current to avoid known security issues.

If you’re unsure whether something is a security risk, treat it as one and slow down.

Common Beginner Mistakes (And How to Avoid Them)

Mistake: Trusting Code You Haven’t Run

The AI produces something that looks right, so you assume it works.

Fix: No green tests, no ship. Run the code and verify it works every single time.

Mistake: Vague Prompts Like “Build Me an App”

Without specific prompts, the AI has to guess, and it often guesses wrong!

Fix: Provide constraints: what technology, what features, what inputs and outputs, and what should happen when things go wrong.

Mistake: Pasting Secrets or Private Code into Prompts

API keys, passwords, or proprietary business logic end up in your conversation with the AI.

Fix: Use placeholders, redact sensitive data, and follow your organisation’s policies.

Mistake: Shipping Without Understanding

The application works, but you have no idea how. When it breaks, you’re stuck.

Fix: Ask the AI to explain the code. Then restate the logic in your own words. If you can’t explain it, you don’t own it.

Mistake: Letting the AI Choose Dependencies Freely

The AI adds libraries and frameworks you’ve never heard of, introducing unknown risks.

Fix: Default to “no new dependencies” unless you’ve explicitly approved them. Ask the AI to use built-in features where possible.

Vibe Coding vs Traditional Coding: What’s the Difference?

Tips for Better Vibe Coding Results

Based on what works well in vibe coding, here are some practical tips:

• Start with acceptance criteria – Before you prompt, write down what “done” looks like. What should the feature do? How will you test it?
• Ask for a plan before code – Get the AI to explain its approach first. This catches misunderstandings early.
• Be specific – “Create a blue button that says ‘Submit’” works better than “add a button.”
• Break complex requests into steps – Instead of describing an entire application at once, build it piece by piece.
• Test frequently – Check your application after each change rather than making many changes at once.
• Ask the AI to flag uncertainty – Add to your prompts: “If you’re unsure about anything, tell me and suggest how to verify.”
• Save your work – Commit changes regularly so you can go back if something breaks.
• Start simple, add complexity – Get a basic version working before adding advanced features.

Is Vibe Coding Right for You?

Vibe coding makes sense if you:

• Want to create simple personal tools or websites
• Have an idea you’d like to prototype quickly
• Are curious about software development but don’t want to invest months learning to code
• Need to build internal tools for your team
• Want to experiment and learn by doing

Vibe coding may not be suitable if you:

• Need to build software that handles sensitive data securely
• Are creating products for paying customers
• Require fine-grained control over how your application works
• Need software that will be maintained and updated over many years

Frequently Asked Questions

Do I need to know how to code before trying vibe coding?

You can start without deep knowledge, but you’ll progress faster if you learn the fundamentals! Variables, functions, how to read error messages, and basic debugging. Vibe coding works best as a multiplier of learning, not a replacement for it.

Will vibe coding replace developers?

In many teams, it’s changing what developers do: less time on repetitive boilerplate, more time on verification, testing, integration, and product thinking. The need for careful engineering hasn’t gone away. If anything, the ability to spot AI mistakes has become more valuable.

What’s the fastest way to get good at vibe coding?

Small projects with tight feedback loops:

• Write a tiny specification
• Generate a small change
• Run it and test it
• Review what the AI produced
• Repeat

The more cycles you complete, the faster you’ll develop intuition for what works.

Can I use vibe-coded projects commercially?

That depends on the tool you’re using, your organisation’s policies, and how thoroughly you’ve reviewed the code. For anything commercial, treat AI-generated code as a starting point that needs proper review, testing, and security checks but not a finished product.

The Future of Vibe Coding

Vibe coding represents a genuine shift in how software can be created. The barrier to entry has never been lower, and tools are improving rapidly.

However, understanding what’s happening behind the scenes still matters. The most effective approach for many people will be a hybrid: using AI to accelerate development whilst learning enough to catch errors and make informed decisions.

For those interested in technology careers, learning traditional coding remains valuable! Perhaps more so than ever. Understanding code gives you the foundation to recognise when AI output is flawed, to fix problems when they arise, and to create software that’s secure and reliable.

Your Vibe Coding Checklist

Before you ship anything, run through this list:

• I wrote down what “done” looks like before I started
• I asked for a plan before generating code
• I generated code in small, reviewable chunks
• I ran the code locally and tested it
• I added at least one test (or manually verified each feature)
• I checked for security and privacy issues
• I understand what I’m shipping (I can explain how it works)
• I documented how to run it
• I haven’t pasted any secrets or sensitive data into prompts

Key Takeaways

• Vibe coding lets you create software by describing what you want in plain English, with AI generating the code.
• You’re still responsible! The AI can write code, but correctness and security are your job.
• Ask for a plan first and don’t just accept whatever code the AI produces. Review the approach before diving in.
• Test everything! AI can confidently produce code that doesn’t work or has security flaws.
• Start simple and build basic projects first before attempting anything complex.
• Getting started is easy! Use tools that work in your browser with no setup required.

Whether you’re looking to build a personal tool, prototype an idea, or simply satisfy your curiosity about modern software development, vibe coding offers an accessible entry point. Just remember: the vibes are powerful, but understanding still matters.