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How to Start Vibe Coding: A Practical Guide for Beginners

Aurimas ButvilauskasMarch 18, 202610 min read

What is Vibe Coding, Really?

You describe what you want in plain English. The AI writes the code. You review, tweak, and ship.

That's vibe coding in a nutshell — building software through conversation rather than typing every function by hand. If you want a deeper dive into the philosophy and history, check out our full explainer on what vibe coding is.

The term came from Andrej Karpathy in early 2025, when he described his workflow of "fully giving in to the vibes" and letting AI handle implementation. Since then, the practice has exploded. In 2026, indie hackers are using vibe coding to ship products in days that used to take months. And you don't need to be a senior engineer to do it — in fact, many successful vibe-coded products were built by people with minimal coding experience.

If you're curious but don't know where to start, this guide has you covered.


Step 1: Pick Your AI Coding Tool

You need an AI coding assistant. Here are the main options in 2026:

ToolStyleBest For
Claude CodeTerminal-based agentComplex projects, multi-file edits, autonomous work
CursorVS Code-based IDEVisual editor lovers, inline completions
WindsurfAgentic IDEFollowing existing patterns, autonomous tasks
GitHub CopilotIDE extensionGitHub-heavy workflows, inline suggestions

Each of these tools approaches AI-assisted coding differently, and the "best" one depends on how you like to work. For a detailed breakdown of features, pricing, and trade-offs, see our comparison of the best AI coding assistants in 2026.

Our recommendation for beginners: Start with Cursor if you like visual editors, or Claude Code if you're comfortable in the terminal. Both are excellent entry points.

We built VibeGen almost entirely with Claude Code, and in our experience, the terminal-based approach works particularly well once your project grows past a few files. The AI can navigate your entire codebase, run tests, and make coordinated changes across multiple files without you switching tabs.


Step 2: Set Up Your Environment (15 Minutes)

Don't overthink this. You can always add tools later. Here's the minimal setup:

  1. Install Node.js (v20+) — use nvm for easy version management
  2. Install Git — you'll commit after every working change (your safety net)
  3. Pick a frameworkNext.js + TypeScript. AI assistants are well-trained on it, so code quality is consistently high. It's also the most popular choice in the indie hacker tech stack for good reason.
  4. Set up a databaseSupabase gives you PostgreSQL + auth + REST API on a generous free tier
  5. Deploy with Vercel — connect your GitHub repo, every push goes live automatically

That's it. Total setup time: ~15 minutes if you already have a GitHub account.

Why This Specific Stack?

Three reasons:

  • AI training data: Next.js and TypeScript have massive representation in AI training sets. Your coding assistant will generate higher-quality code with fewer hallucinations compared to niche frameworks.
  • Full-stack in one: Next.js handles frontend, API routes, and server-side rendering. No need to set up separate backend services.
  • Free hosting: Between Supabase's free tier and Vercel's hobby plan, you can run a production app at zero cost while validating your idea.

Step 3: Plan Before You Prompt

This is the step most beginners skip — and it's why most first projects fail.

Jumping into "build me a SaaS" produces garbage. The AI needs context — the more specific you are about what you want, the better the output. Think of it like hiring a contractor: "build me a house" gets you nothing useful, but "build a 3-bedroom ranch with an open kitchen layout" gets you a blueprint.

Write a Quick PRD

A Product Requirements Document tells the AI what to build. Keep it simple:

  • Problem: What pain point are you solving? For whom?
  • Core features: List 3-5 features. That's your MVP. No more.
  • Tech stack: Framework, database, auth, hosting
  • Data model: What tables? What fields? What relationships?
  • User flows: Step by step, what does the user do?

You don't need to write this by hand. Tools like VibeGen generate complete PRDs from a short description — including database schemas, API endpoints, and acceptance criteria that AI coding assistants can consume directly. We've written more about this process in our guide on going from idea to PRD in 10 minutes.

Break It Into Tasks

A PRD describes the whole project. Tasks describe what to build right now.

Each task should be one focused piece: "set up the database schema," "create the login flow," "build the settings page." Aim for tasks that take 15-60 minutes each with AI assistance.

Order matters. You can't build a settings page before authentication exists. You can't query data before the schema is set up. Get the dependency order right, and the AI won't generate code referencing things that don't exist yet. Get it wrong, and you'll spend more time debugging import errors than building features.


Step 4: Build Your First Project

Start small. Seriously — a personal tool, a simple dashboard, a landing page with a waitlist. Your first vibe-coded project should be finishable in a single day. Here's a concrete example:

Project: Personal Bookmarks Manager

Save links with tags, search them later. Simple, useful, and covers all the fundamentals: CRUD operations, authentication, search, and deployment.

The tasks:

  1. Create a Next.js project: npx create-next-app@latest bookmarks --typescript
  2. Set up Supabase with a bookmarks table (id, user_id, url, title, tags, created_at)
  3. Add authentication (Supabase Auth)
  4. Build an "add bookmark" form
  5. Build a bookmark list with tag filtering
  6. Add search
  7. Deploy to Vercel

Feed each step to your AI assistant as a separate prompt. Give it context about what you've already built. When asking for the bookmark list, mention your Supabase table schema and existing auth setup.

How a Prompt Should Look

Here's the difference between a bad and good prompt:

Bad: "Add a bookmark list to my app"

Good: "I have a Next.js 15 app with Supabase. The bookmarks table has columns: id (uuid), user_id (uuid, FK to auth.users), url (text), title (text), tags (text[]), created_at (timestamptz). Auth is set up using Supabase Auth with the createClient from @supabase/ssr. Build a server component at /app/bookmarks/page.tsx that fetches the current user's bookmarks and displays them in a list with tag filtering."

The second prompt gives the AI everything it needs. No guessing, no hallucinating table names.


Step 5: The Feedback Loop

Vibe coding is iterative. After every AI-generated change:

  1. Read the code — you don't need to understand every line, but get the structure. Know which files changed and why.
  2. Run it — does it start? Does the feature work? Check the browser console for errors.
  3. Test edge cases — empty input? Very long text? Duplicate entries? Unauthorized access?
  4. Commit — if it works, git commit immediately. This is your save point.
  5. Move to the next task

If something breaks, paste the full error message back into the AI. Include the relevant code and what you expected to happen. More context = better fixes.

The "It Works But I Don't Understand It" Problem

This is normal when you're starting out. You don't need to understand every line — but you should understand the architecture. Which file handles what? Where does data flow from the database to the UI? If you can answer those questions, you can effectively direct the AI even without deep TypeScript knowledge.

Over time, you'll start recognizing patterns. Server components vs. client components. API routes. Middleware. The learning happens through exposure, not textbooks.


Common Mistakes (Learn from Everyone Else's Pain)

Building too much at once. Keep your MVP to 3-5 features. Every extra feature multiplies bug surface and delays launch. You can always add more after people use it. If you need help scoping, our guide on validating a SaaS idea before building covers how to identify your true MVP.

Skipping the planning stage. 30 minutes on a PRD saves hours of debugging. In our experience building VibeGen, the sessions where we wrote a detailed plan first were 3-4x more productive than the ones where we jumped straight into prompting. The AI produces dramatically better code when it has comprehensive context.

Not reading the generated code. Vibe coding does not mean blind acceptance. The AI makes mistakes — wrong assumptions, inefficient queries, security holes. Review what it writes. You don't need to be an expert, but you should spot obvious issues like missing authentication checks or hardcoded credentials.

Not committing frequently. Built three features without committing? If something breaks, you're debugging everything at once. Commit after every working change. Git is your undo button — but only if you actually save.

Choosing a complex first project. Your first vibe-coded project should be finishable in a day. A personal tool, a simple dashboard, a landing page. Build confidence with the workflow before attempting a full SaaS.

Ignoring the idea stage. The most common failure mode: building something nobody wants. Before you start coding, spend time on idea generation and validation. Even 30 minutes of market research can save weeks of wasted development.


Scaling Up: From Side Project to SaaS

Once you've shipped your first project and gotten comfortable with the workflow, you're ready for something bigger. The process scales linearly:

  1. More detailed PRD — include edge cases, error handling, multi-user scenarios
  2. More granular tasks — break complex features into 3-5 sub-tasks each
  3. Testing — add automated tests early. AI assistants write solid tests when you provide clear acceptance criteria
  4. Deployment pipeline — set up preview deployments for each push, staging environments for testing

The jump from "personal tool" to "SaaS product" is less about technical complexity and more about product decisions: pricing, onboarding, error handling, multi-tenancy. These are the areas where planning tools like VibeGen pay for themselves — a well-structured PRD captures these requirements before you write a line of code.


What's Next?

Once you've shipped your first project, the next steps depend on your goals:

If you want to accelerate the planning phase, VibeGen generates project ideas, market research, PRDs, and task lists designed for AI coding assistants. The free tier gives you 10 credits — enough for a complete project plan.

The key insight: vibe coding isn't about the AI doing everything. It's about the AI handling implementation while you focus on the decisions that matter — what to build, for whom, and why.

Get those decisions right, and the code follows.

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