What is a vibe coding prompt?

A vibe coding prompt is a natural-language instruction you give an AI tool, like Lovable, Cursor, or Base44, describing what you want to build. Instead of writing code line by line, you describe the end result and the AI generates the implementation. The quality of output depends heavily on how specific and structured your prompt is.

What tool should I use for vibe coding prompts?

For full-app generation from a single prompt, Lovable and Base44 are the leading purpose-built tools in 2026. For incremental AI-assisted coding in an IDE, Cursor with Composer is standard. For quick UI prototypes, v0 by Vercel is excellent. The right tool depends on your goal: building a complete app from scratch (Lovable or Base44), adding features to existing code (Cursor), or mocking up a component (v0).

How long should a vibe coding prompt be?

The most effective prompts are 3-8 sentences for initial builds and 1-3 sentences for follow-up iterations. Too short (under 10 words) and the AI makes too many assumptions. Too long (over 200 words in one shot) and the AI starts averaging across conflicting requirements. The sweet spot: describe the feature, the data it uses, and the look or behavior, then iterate from there.

How do I write prompts for landing pages with AI?

Start with the target audience, the core offer, and the conversion goal. Then specify layout (hero with split/centered/full), color palette, and the specific CTA text. Example: 'Build a SaaS landing page for a time-tracking tool aimed at freelancers. Hero: headline, subheadline, and primary CTA. Three features section with icons. Pricing with two tiers. Clean minimal style, white background, blue accent.' Then iterate: 'Change the hero to a split layout with a product screenshot on the right.'

Can vibe coding prompts work for complex apps?

Yes, but complex apps require a structured approach rather than a single prompt. Break the app into features and build them sequentially. Start with data models, then add UI sections one at a time, then wire up interactions. Tools like Lovable maintain full context across iterations, so each prompt builds on the previous state. Attempting to describe an entire complex app in one prompt typically produces a shallow implementation, break it into 5-15 focused prompts.

What are the best vibe coding prompts for beginners?

Beginners should start with single-feature prompts: 'Build a to-do list app with add, complete, and delete functionality.' Once that works, add complexity: 'Add local storage so tasks persist on refresh.' Then: 'Add a filter to show all, active, and completed tasks.' This stacked approach teaches you how AI interprets prompts and where it needs more specificity, without overwhelming the context window.

How do I iterate on a vibe coding prompt that gave bad output?

Do not rewrite the entire prompt. Instead, identify the specific element that is wrong and write a targeted correction: 'The navigation bar should be sticky, not fixed' or 'The modal closes on overlay click but should stay open, only the X button should close it.' Targeted corrections preserve what is working. Starting over wastes the context the AI has built about your app's data model and component structure.

What vibe coding prompts work best for dashboards?

Dashboard prompts work best when you specify the data source, chart types, and layout grid explicitly. Example: 'Build an analytics dashboard with a 3-column stats row at top, a full-width line chart for 30-day signups below, and a data table for recent signups with sortable columns. Use a dark slate background with teal accents.' Specifying layout prevents the AI from making creative choices you will have to undo.

Do vibe coding prompts work the same across different AI tools?

The language is portable but results vary by tool. Lovable and Base44 generate complete running apps and handle routing, state management, and database connections. Cursor's Composer applies changes to your existing codebase. v0 focuses on React components. The same prompt sent to each will produce different outputs tuned to the tool's capabilities. You may need to adjust specificity depending on the tool.

How do I prompt for database schema in vibe coding?

Be explicit about entity relationships. Example: 'Create a users table with id, email, name, created_at. Create a posts table with id, title, body, user_id as a foreign key to users, published_at, and is_published as a boolean. Set up cascade deletes on comments when a post is deleted.' The more explicit your schema, the less refactoring you will do later when the AI assumes the wrong relationship type.

What are the most common vibe coding prompt mistakes?

The top five mistakes: (1) Too vague, 'build me a social app' produces a generic template. (2) Too much at once, 15 features in one prompt results in shallow implementation across all of them. (3) No style direction, without color and layout cues, the AI defaults to generic UI. (4) Ignoring error states, not prompting for loading and error states means you will encounter them in production. (5) Not iterating, treating the first output as final.

How do I prompt for authentication in a vibe coding project?

Specify the auth provider and the flows required. Example: 'Add email and password authentication using Supabase Auth. Include sign-up, sign-in, forgot password, and email verification flows. Redirect authenticated users to /dashboard and unauthenticated users to /login. Show user email in the top-right corner of the nav once logged in.' Vague auth prompts like 'add login' produce incomplete implementations that lack error handling and session persistence.

Can I reuse vibe coding prompts across projects?

Yes, and you should. When a prompt produces excellent output, save it verbatim with a note about the tool and context. Over time your saved prompt library becomes a reusable toolkit tuned to your stack, style preferences, and common use cases. Many experienced vibe coders maintain a personal prompt library of 50-100 proven starters organized by feature type.

GPTPROMPTS.AI

VIBE CODING · PROMPT LIBRARY · 2026

50+ Vibe Coding Prompts That Actually Work (2026)

Copy-paste prompt library for building with AI. Landing pages, dashboards, CRUD apps, mobile screens, and API integrations, organized by use case with refinement tips.

Landing PagesDashboardsCRUD AppsMobileIntegrationsRefinement Tips

Key Takeaway

Updated April 2026

Vibe coding prompts are natural-language instructions given to AI tools such as Lovable, Base44, and Cursor to generate working application code without manual programming. Effective prompts specify audience, data model, layout structure, and interaction behavior. The most productive workflows use short focused prompts of 3-8 sentences for initial builds and single-element follow-ups for iteration, building complex apps through 5-15 sequential prompts rather than one large request. In 2026, Lovable and Base44 lead for full-app generation; Cursor Composer leads for AI-assisted coding within existing codebases.

Primary tools in 2026: Lovable, Base44, Cursor Composer, v0 by Vercel, Bolt, Replit
Optimal prompt length: 3-8 sentences for initial build; 1-3 sentences per iteration
Best beginner approach: Single-feature prompts stacked with growing complexity
Most common mistake: Too vague or requesting too many features at once
Reliable prompt structure: Audience + data model + layout + style = consistent first draft
Full methodology: See /vibe-coding for the complete 2026 guide to building with AI

Affiliate link, we may earn a commission at no extra cost to you.

The skill gap in vibe coding is not which tool you use, it is how you prompt it. Two people can open the same AI builder and get wildly different results depending on how they describe what they want. This library exists to close that gap.

Every prompt below has been tested. Some are start-from-scratch templates; others are the follow-up refinements that turn a mediocre first draft into something you can ship. Use them as starting points, not scripts, adjust the specifics to your project and you will get dramatically better output than the average "build me a website" request.

For background on the methodology and history behind vibe coding, see the main pillar guide. For the tools that run these prompts best, check the vibe coding tools roundup.

What you will find in this library

• Landing page prompts, hero sections, pricing tables, feature grids, CTAs
• Dashboard prompts, stats cards, charts, data tables, filters
• CRUD app prompts, full-stack patterns with data models and admin views
• Mobile screen prompts, bottom nav, cards, forms, swipe actions
• Integration prompts, Stripe, email, webhooks, OpenAI
• Refinement prompts, fixes and iterations for common output issues

Landing Page Prompts

These prompts build conversion-focused landing pages. They work best in Lovable, Base44, and v0. Specify your audience and offer, the templates handle structure.

SaaS product landing page

Build a SaaS landing page for a time-tracking tool aimed at freelancers. Hero section: headline 'Track time, bill clients, get paid faster', short subheadline, and a primary CTA button 'Start free, no credit card'. Features section: three columns with icons for time tracking, invoice generation, and client reports. Pricing: two tiers (Free and Pro at $12/month). Footer with links. Clean minimal style, white background, blue accent (#2563eb).

Agency or service business page

Create a landing page for a digital marketing agency. Hero with a bold headline, short value proposition, and two CTAs: 'Get a free audit' and 'See our work'. Services section: SEO, Paid Ads, Content Marketing, each with icon, name, and 2-sentence description. Client logos row. Three testimonial cards. Contact form at the bottom. Dark navy background (#0f172a) with white text and orange accent (#f97316).

Mobile app launch page

Build a mobile app landing page for a habit tracker iOS app. Full-width hero with a phone mockup on the right, headline on the left, and App Store download button. Three feature blocks below the fold. A 'How it works' section with 3 numbered steps. Social proof row: '10,000+ users, 4.8 stars, featured in TechCrunch'. Email waitlist form at the bottom. Light gradient background, purple to white.

Lead capture squeeze page

Create a high-conversion lead capture page for a free email course on personal finance. Single column layout. Headline: '7 Days to Understanding Your Money'. Bullet list of 7 things subscribers will learn. Email capture form with first name and email fields, CTA 'Start the free course'. Privacy microcopy below the form. No navigation, nothing that takes the user off the page. White background, green CTA (#16a34a).

Event or webinar registration page

Build a webinar registration page for a live session on AI tools for solopreneurs. Event details: date, time, timezone, speaker name with photo and bio. Short agenda (4 bullet points). Registration form: name, email, company. CTA: 'Reserve my spot'. Countdown timer to the event date. Social proof: '347 people registered'. Professional dark background with bright CTA button.

Landing page refinement prompts

"Make the hero section taller, minimum 80vh. Move the CTA button closer to the headline."

"The pricing cards look too similar. Make the Pro tier visually prominent: add a 'Most popular' badge, darker background, and a highlighted border."

"Add a sticky navigation bar that appears after scrolling 200px. Logo on the left, CTA button on the right."

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Dashboard and Analytics Prompts

Dashboard prompts need explicit layout structure and data specifications. These templates cover the most common admin and analytics patterns.

SaaS metrics dashboard

Build an analytics dashboard. Top row: four stat cards, Total Users, Active Users (30-day), MRR, and Churn Rate, each with current value, percent change vs last month, and a trend arrow (green up / red down). Below: full-width area chart for daily signups over the last 30 days. Below that: data table of recent signups with columns Name, Email, Plan, Signup Date, sortable by date. Left sidebar nav: Dashboard, Users, Revenue, Settings. Dark theme: #0f172a background, teal (#0d9488) accents.

E-commerce sales dashboard

Create a sales dashboard for an e-commerce store. Stats row: Gross Revenue, Net Revenue, Orders, Average Order Value, all for current month with comparison to last month. A horizontal bar chart showing top 5 products by revenue. A donut chart for revenue by traffic source: Organic, Paid, Email, Direct. A recent orders table with Order ID, Customer, Items, Total, Status (Pending/Shipped/Delivered), Date. Color-coded status badges. Clean white background, green and blue accents.

Project management board

Create a Kanban project board. Four columns: Backlog, In Progress, Review, Done. Each card shows task title, assignee avatar, due date, and a priority badge (Low/Medium/High). Drag-and-drop between columns. Header with board title, search bar, and filter by assignee dropdown. A 'New task' button opens a modal with fields: title, description, assignee, due date, priority. Color-coded priority borders on cards. Light background with subtle column shading.

Content performance dashboard

Build a content analytics dashboard. Left sidebar nav: Posts, Pages, Authors, Categories. Main area: a line chart showing pageviews and unique visitors over 28 days (two lines, different colors). Below: a table of top posts with Title, Pageviews, Avg. Time on Page, Bounce Rate, CTA Clicks, sortable. Rows clickable to a detail view. Date range picker at top right (Last 7 / 30 / 90 days) that updates all charts.

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CRUD and Full-Stack App Prompts

Full-stack app prompts need schema-first thinking. Start with the data model, then build the UI on top. These prompts follow that order.

CRM, data model first

Build a simple CRM app. Data model: Contacts (id, name, email, phone, company, status as Lead/Prospect/Customer, created_at), Deals (id, contact_id, title, value, stage as Discovery/Proposal/Negotiation/Closed-Won/Closed-Lost, close_date), Notes (id, contact_id, body, created_at). UI: left sidebar with Contacts, Deals, Dashboard links. Contacts page: searchable table with Add Contact button and row-click to detail view. Deal pipeline: Kanban view grouped by stage. Dashboard: total deal value by stage as a bar chart, recent activity feed.

Blog CMS with admin

Create a blog CMS. Schema: Posts (id, title, slug, body as rich text, excerpt, featured_image_url, author_id, status as Draft/Published, published_at, tags array), Authors (id, name, email, avatar_url, bio). Public-facing: homepage with paginated post cards, individual post page with related posts. Admin panel: post list with status filter, rich text editor, image upload, tag input, and publish/unpublish toggle. Protect admin routes, unauthenticated users redirect to /login.

Inventory management system

Build an inventory management app. Schema: Products (id, name, sku, category, price, cost, quantity_on_hand, reorder_threshold, supplier_id), Suppliers (id, name, email, phone, lead_time_days), Transactions (id, product_id, type as Purchase/Sale/Adjustment, quantity, date, notes). UI: Products page with search, category filter, and a red badge on items below reorder threshold. Add/edit product form. Transaction history per product. Dashboard: total inventory value, low stock alerts. CSV export for products.

Subscription and user management app

Create a user management app with subscription tiers. Users table: id, name, email, plan (Free/Pro/Enterprise), subscription_status (Active/Cancelled/Paused), billing_cycle_end. Admin view: user list with plan filter, bulk plan change, and user detail page with subscription history. User-facing: account settings where users can view their plan, update billing email, and cancel subscription via a confirmation modal. Stub a Stripe webhook handler that updates subscription_status on payment events.

CRUD refinement prompts

"Add optimistic updates to the delete action, remove the row immediately from the UI while the API call is in flight, and restore it if the request fails."

"The data table needs pagination. Show 25 rows per page with Previous/Next buttons and a 'Showing X-Y of Z' counter."

"Add a confirmation dialog before any delete action. The modal should show the item name and require clicking 'Delete permanently' to proceed."

Mobile App and Screen Prompts

Mobile prompts require explicit viewport and interaction specifications. These work well in Replit, Lovable for PWAs, and Expo with Cursor.

Habit tracker mobile app

Build a mobile habit tracker app at 375px wide, mobile-first. Bottom navigation: Today, Habits, Stats, Settings. Today screen: date header, list of today's habits as checkable rows (habit name, streak count, check circle on right). Long-press a habit row to show edit/delete options. Habits screen: list of all habits with Add button. Each habit: name, frequency (daily/weekdays/custom days), color indicator. Stats screen: calendar grid with green/grey dots for completion, plus a longest streak counter per habit.

Messaging or chat screen

Build a mobile chat interface. Chat list screen: header with search icon, list of conversations with avatar, name, last message preview, time, and unread count badge. Conversation screen: message bubbles (own messages right-aligned blue, incoming left-aligned grey), timestamp every 5 messages, day dividers. Bottom input: text field, emoji button, attachment button, send button. Show a 'typing...' indicator. Smooth keyboard avoidance, input stays above keyboard on mobile.

Onboarding flow screens

Create a 4-screen mobile onboarding flow. Screen 1: full-screen illustration, headline, subtext, and 'Get Started' button. Screen 2: email and password sign-up form with field validation. Screen 3: 'Tell us about yourself', 3 selectable role cards (Student, Professional, Business). Screen 4: notification permission request with 'Allow' and 'Skip for now'. Progress dots at bottom. Swipe-back supported. Persist user choices to local state. Each screen fades in on arrival.

Integration and API Prompts

These prompts connect apps to external services. Specify the exact API, the data you need, and the error states to handle.

Stripe payment flow

Add Stripe Checkout to the app. When a user clicks 'Upgrade to Pro', create a Stripe Checkout session via server action with price ID 'price_xxx', success_url '/success?session_id={CHECKOUT_SESSION_ID}', and cancel_url '/pricing'. On the success page, verify the session and update the user's plan to 'pro' in the database. Handle the case where a session is already used. Show an order summary on the success page. Use Stripe's test mode keys.

OpenAI streaming integration

Add an AI-powered text feature. When the user clicks 'Generate with AI', send the form's current content to OpenAI's chat completions endpoint (model: gpt-4o) with a system prompt: 'You are a professional copywriter. Rewrite the text to be clearer and more persuasive, under 100 words.' Stream the response into the text field as it arrives. Show a loading spinner during the request. Add a 'Revert to original' button. Handle rate limit errors with a friendly user message.

Transactional email via Resend

Add transactional email using Resend. Create a server action sendWelcomeEmail(email, name) that fires when a user signs up. Email template: subject 'Welcome to [App Name], [Name]!', HTML body with the app logo, a 3-step getting started guide, and a big CTA button 'Go to your dashboard'. Create a separate sendPasswordResetEmail(email, resetLink) function. Use environment variable RESEND_API_KEY. Log all sent emails to an email_log table with recipient, type, sent_at, and Resend message ID.

Stripe webhook receiver

Build a webhook endpoint at POST /api/webhooks/stripe that receives Stripe events. Verify the Stripe-Signature header using the webhook secret. Handle these events: customer.subscription.created (set user plan to 'pro'), customer.subscription.deleted (set plan to 'free'), invoice.payment_failed (set subscription_status to 'past_due'). Return 200 for handled events, 400 for signature verification failures. Log all events to a webhook_events table with event type, status, and raw payload.

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Prompt Refinement: What Separates Fast Shippers

The best vibe coders are not better at writing first prompts, they are better at iterating. These five principles cut iteration time in half.

Fix structure before fixing style

Data model errors are expensive. Visual errors are cheap. On every first draft, check routing, state management, and data relationships first. Correcting those later means touching code the AI has already built on top of, breakage multiplies.

Describe what you see, not what you want

Effective refinement prompts start with what is currently wrong: "The sidebar overlaps the main content on mobile widths." Not: "Fix the mobile layout." The AI can only fix what it knows is broken, tell it precisely what you observe.

Use named UI references

"Style this card exactly like a Stripe dashboard stat card" or "Make this table behave like a Linear issues table" gives the AI a specific mental model. Named references produce more accurate outputs than abstract descriptions like "make it clean and professional."

One change per refinement prompt

Asking for three changes at once leads to the AI fixing two well and mangling the third. Treat each iteration as one atomic change. Slower per change, but dramatically faster overall because you avoid compounding regressions.

Build your prompt library as you go

When a prompt produces output you love, save it verbatim. It is not luck, the structure of that prompt works for your tool and stack. Your growing library of proven prompts is the real compounding advantage of vibe coding over raw coding.