Vibe Coding — What It Is & How to Get Started
Vibe coding is a term coined by Andrej Karpathy to describe a new style of programming where you describe what you want in natural language and let AI write the code. Instead of typing out every line yourself, you give the AI the "vibe" of what you are building — the concept, the behavior, the look and feel — and it generates the implementation. You read the output, accept what works, adjust what does not, and keep going. It is not about replacing programming knowledge; it is about changing the interface from typing syntax to describing intent. Tools like Cursor, Claude Code, GitHub Copilot, Bolt, and Replit Agent have made this workflow practical and mainstream in 2026.
For experienced developers, vibe coding accelerates the tedious parts — boilerplate, CRUD operations, configuration files, test scaffolding — so you can focus on architecture and logic. For non-programmers, it opens the door to building functional prototypes, internal tools, and even production apps that would have been impossible without hiring a developer. The key skill is not coding itself but the ability to clearly describe what you want: what the app should do, how it should look, what happens when things go wrong, and what technologies to use. This is where prompt engineering becomes essential — the quality of your description directly determines the quality of the code.
Getting started with vibe coding is straightforward. Pick a tool — Cursor is the most popular for its visual IDE experience, Claude Code for command-line power users. Start with a small project: a personal website, a simple API, or a utility script. Describe the entire project first, then work feature by feature. Be specific about your tech stack and preferences. When the AI produces code that does not work, paste the error back and ask it to fix it. Over time, you will develop an intuition for which prompts produce good results and which need more detail. Save your best prompts — they become your personal development toolkit.
Vibe Coding Prompts
Describe what you want to build and let AI write the code. Copy these prompts to get started.
Natural Language to App
Build a {{app_type}} with the following requirements: Tech stack: {{tech_stack}} Features: {{feature_list}} Design: - Clean, modern UI with {{design_style}} aesthetic - Mobile responsive - Accessible (ARIA labels, keyboard navigation) Start by creating the project structure, then implement each feature one at a time. After each feature, briefly confirm what was built before moving to the next. Constraints: - Use only the specified tech stack — do not introduce additional frameworks - Include basic error handling for user-facing interactions - Add comments explaining non-obvious decisions
Why it works: Specifying tech stack upfront prevents the AI from choosing unfamiliar tools. Building feature-by-feature with confirmation checkpoints keeps the project on track.
Iterate by Description
Here is my current code: {{current_code}} I want to change the following: {{change_description}} Rules: - Only modify the parts that need to change — keep everything else exactly as it is - If my description is ambiguous, pick the most common/expected interpretation and note your assumption - Show me the complete updated code (not just a diff) - After the code, list every change you made in a bullet list Do not refactor, optimize, or "improve" anything I did not ask about.
Why it works: The 'do not refactor' constraint prevents scope creep — a major frustration in vibe coding. Requiring a change list makes it easy to verify the AI did exactly what was asked.
UI from Screenshot
Recreate the UI shown in the attached screenshot using {{framework}} and {{css_approach}}. Screenshot description (if no image attached): {{ui_description}} Requirements: - Match the layout, spacing, and visual hierarchy as closely as possible - Use semantic HTML elements - Make it fully responsive (mobile, tablet, desktop) - Use placeholder content where real content is not visible - Include hover and focus states for interactive elements Return: 1. The complete component code 2. Any required CSS/Tailwind classes 3. A list of assumptions made about responsive behavior
Why it works: Asking for semantic HTML and responsive behavior by default produces production-quality output. Listing assumptions surfaces design decisions you might want to override.
Feature Addition by Conversation
I have an existing {{framework}} application. I want to add a new feature. Current app description: {{app_description}} Existing file structure: {{file_structure}} New feature: {{feature_description}} Please: 1. Explain how this feature fits into the existing architecture 2. List every file that needs to be created or modified 3. Implement the changes file by file, starting with data/backend changes and ending with UI 4. After all changes, explain how to test the new feature Important: Do not modify any existing functionality. The new feature should be additive only.
Why it works: Starting with architecture explanation catches misunderstandings before code is written. The backend-to-frontend order prevents UI code that references non-existent APIs.
Debugging by Explanation
My {{language}} code is not working as expected. Code: {{buggy_code}} Expected behavior: {{expected_behavior}} Actual behavior: {{actual_behavior}} Error message (if any): {{error_message}} Please: 1. Identify the root cause of the bug (not just the symptom) 2. Explain WHY this bug occurs — what is the code actually doing vs. what I intended? 3. Provide the fixed code with the minimal change needed 4. Suggest a test case that would have caught this bug 5. Note if this is a common mistake and how to avoid it in the future
Why it works: Separating root cause from symptom prevents superficial fixes. Asking for a test case that catches the bug helps prevent regression and builds testing intuition.
Deployment by Chat
I have a {{app_type}} application built with {{tech_stack}} and I want to deploy it to {{platform}}. Current state: - Source code is in a {{repo_type}} repository - Environment variables needed: {{env_vars}} - Database: {{database_info}} Please provide a complete deployment guide: 1. Prerequisites: What accounts, CLI tools, or configs I need before starting 2. Build configuration: Any build settings, environment files, or scripts needed 3. Deployment steps: Exact commands to run, in order 4. Post-deployment: How to verify it is working, set up monitoring, and configure a custom domain 5. Common issues: Top 3 problems people hit deploying this stack to this platform, and how to fix them Write the guide assuming I have never deployed to {{platform}} before.
Why it works: The beginner assumption ensures nothing is skipped. The 'common issues' section preemptively solves the problems most developers encounter on their first deployment.
Recommended tools & resources
Get the most out of Cursor for vibe coding workflows.
Claude Code TipsUse Claude Code to build entire features from descriptions.
Best Prompts for CodingCurated prompts that drive AI coding assistants effectively.
Prompt BuilderGenerate structured prompts for any coding task.
AI Coding Assistant PromptsPrompts designed for in-editor AI coding tools.
Prompt Engineering for BeginnersStart here if you are new to prompt engineering.