Vibe coding prototypes: Lovable vs Bolt vs Figma

AI-Powered Landing Page Prototyping Tools Compared: Lovable, Bolt, and Figma Make

Designers can accelerate landing page prototyping using AI-powered "vibecoding" tools. Testing three platforms—Lovable, Bolt, and Figma Make—revealed key differences in generation speed, prompt fidelity, and ecosystem integrations. Using a consistent input set (structure, Grok-generated copy, and style references), we built fully functional pages—with hover states, forms, and live publishing—in hours instead of weeks.

Preparing for Testing

Inputs included the landing page structure, finalized copy, images, and a defined color palette. The same prompt was used across all tools:

Create a fully functional landing page in Figma Make, strictly following the provided assets. Data Sources: 1. Structure & Content: Use the attached text document. It contains the complete section structure, headlines, body copy, and button labels. 2. Visual Style: Use the attached reference image as the visual guide. Follow its color palette, typography, card styling, and overall aesthetic. Critical Requirements: Content Integrity: Do NOT remove, merge, or skip any block from the text document. Hover States: Implement proper hover interactions for all interactive elements (buttons, nav links, cards). Link Functionality: Ensure clickable tel:, mailto:, and social media links. Layout: Grid system, 1440px desktop width, consistent padding.

Google AdInline article slot

Testing focused on prompt adherence, refinement effort, integrations, and cost. Always validate outputs: AI may omit sections or overlook critical details.

Lovable: Speed and Flexibility

The interface is minimalist—prompt on the left, live preview on the right. Lovable generates production-ready pages with hover effects, forms, and built-in analytics.

Key features:

• Preview: Test responsiveness across device breakpoints.
• Cloud Storage: For feedback forms and submissions.
• Source Code Export: Download and edit HTML/CSS/JS directly.
• Analytics: Configurable via prompt; tracks clicks, form submissions, and engagement.
• Form Security: Built-in protection with customizable instructions.
• Performance Diagnostics: Identify loading bottlenecks and optimize assets.
• Team Collaboration: Invite teammates via shareable link.
• Publishing: Deploy to Lovable’s domain or your own—with optional noindex setting.
• GitHub Sync: Full two-way sync for frontend developers to refine code.

Workflow:

• Upload PDFs containing content and visual references.
• Refine: Add hero video, social icons, and supporting imagery.
• Configure forms, cookie consent, and tracking.

Result: A polished, error-free prototype. Cost: 20 credits per project.

Bolt: Figma & Database Integrations

The UI is similar but prioritizes database connectivity and template reuse. Native Figma import lowers the barrier for designers already working in that ecosystem.

Features:

• Built-in Database: Accessible directly in the dashboard.
• Site Settings: Manage domains, hosting, backups, and SSL.
• Figma Import: One-click import of existing Figma frames and components.
• Templates: Create, save, and share reusable page templates across teams.
• GitHub Sync: Push changes to repositories for version control.

Challenges: Struggles with simple prompt directives (e.g., embedding video or precise image placement), consumes tokens rapidly, and output quality degrades after multiple edits. Visual fidelity starts strong—but iterative tweaks often introduce inconsistencies. Team collaboration requires a Pro plan.

Figma Make: Seamless for Figma Users

Deep integration with the Figma ecosystem: projects live side-by-side with design files, and layout updates sync automatically. No PDF support—copy-paste content into the prompt instead.

Features:

• Preview: Customizable breakpoints per device type (mobile, tablet, desktop).
• Settings: Configure meta tags, Google Analytics, custom fonts, Supabase, Git, and npm packages.
• Access Controls: Permissions mirror Figma’s model (edit, comment, view-only).
• Publishing: Set a title tag and share publicly in the Figma community.

Workflow: Requires multiple clarifying prompts to fix issues like empty buttons or broken image paths. Best suited for iterative, collaborative refinement.

| Tool | Pros | Cons | Approx. Pricing |

|------|------|------|-----------------|

| Lovable | GitHub sync, robust security, high reliability | Occasional section omissions | ₽1,000 / 100 credits (covers ~5 projects) |

| Bolt | Figma import, native database support | Prompt ignores, high token burn rate | 200 free tokens + 40/day thereafter |

| Figma Make | Native Figma integration, granular settings | No PDF upload, needs prompt iteration | Included with Figma paid plans |

Key Takeaways

• Lovable delivers the best balance of speed and reliability for rapid, production-grade prototyping.
• Bolt shines when you’re starting from Figma designs and need real-time database connectivity.
• Figma Make is ideal for teams fully embedded in the Figma workflow.
• All three export clean code and support GitHub—but always verify hover states, form behavior, and link functionality manually.
• Save tokens wisely: test on free tiers first, and write highly specific, step-by-step prompts.

— Editorial Team