Create websites with Lovable AI Website Generator

Chat-driven Builder

Lovable’s chat interface transforms requests into complete app pages, letting nontechnical founders specify behavior, layout, and data needs by natural language. The AI generates React-style code, scaffolds routes, and creates UI components; you can refine results with follow-up prompts until the interface matches your needs. Real-time feedback shows previews as elements are added, and the editor preserves edit history so teams can iterate safely. This approach compresses prototyping time while leaving developers full control of exported source and deployment options.

Git & Version Control

Lovable links projects to GitHub so every change is tracked in a repository and collaborators can work with familiar Git workflows. The integration syncs edits in real time to the default branch, lets you view the repo from the editor, and supports cloning for local development. Teams can combine visual editing with code changes, run CI on exported repositories, and maintain a history of iterations. This model provides portability and auditability, seamlessly maintaining handoff between designers and engineers.

Supabase Backend

Lovable’s Supabase integration wires a managed PostgreSQL backend directly into projects so apps can store data, authenticate users, and serve uploaded files without separate infrastructure configuration. The platform can auto-generate tables and auth flows from prompts, add real-time listeners, and deploy Edge Functions to run server-side logic. Secret values like API keys are stored securely and made available to deployed functions, reducing risk and manual setup. Developers retain SQL access while builders use single workflow for frontend and backend tasks.

Publishing & Domains

Publishing a Lovable project is a one-click operation that produces a preview URL and supports updates without complex pipeline setup. Paid plans allow connecting a custom domain through an automated DNS helper or manual records, and SSL certificates are provided for secure traffic. Lovable also supports exporting projects to GitHub so teams can route deployments to Netlify, Vercel, or other hosts while keeping preview pages for testing. This flexibility lets teams manage staged releases and public launches with low operational overhead.

Figma Import & Templates

Lovable can import designs from Figma and convert layout elements into editable components inside the editor, accelerating transition from static mockups to interactive pages. The platform also supplies starter templates for common use cases like SaaS landing pages, dashboards, and portfolios, which you can begin from and refine via chat commands. After import, styles and assets are available in the project, allowing rapid iteration and consistent branding while giving engineers a starting point for further customization or direct code export.

Verified Integrations

Lovable offers a catalog of verified integrations that let applications connect to payments, email, messaging, s, analytics, and creative tools without handcrafting adapters. Integrations include Stripe for payments, OpenAI and Anthropic for language features, Twilio for SMS, Resend for email delivery, and Make for workflow automation; libraries for charts, 3D, and image generation are also supported. Builders can wire these services through the editor or by adding API specs, shortening implementation time while keeping control over credentials and logic.

Preview & Release Workflow

Lovable provides preview URLs for in-progress work so stakeholders can test changes before they go live, and a Publish control that updates the published site with a single action. When connected to external hosts via GitHub, Lovable synchronizes changes but also supports a preview environment inside the editor for safe iteration. Teams can manage staged releases, inspect version history, and push deliberate updates to production at their chosen cadence, keeping experimentation isolated from live traffic during development and testing cycles.

Secrets & Edge Functions

Lovable handles secrets securely by storing API credentials and private keys in protected storage and connecting them to deployed Edge Functions so server-side code can authenticate without exposing secrets in client bundles. Edge Functions allow custom backend routines, webhook handlers, and integrations with external APIs while preserving a minimal surface area for sensitive data. This pattern simplifies adding payments, email, or AI backends: developers write or generate functions, bind secrets from the project, and deploy safe server logic with monitoring.

AhmedFI on Trustpilot in the review 'My experience with Loveable has been…' reported that Supabase integration failed repeatedly, rendering projects unusable for production. The reviewer said AI fixes often introduced new bugs, creating an endless loop of credit spending and debugging. They argued the platform felt like a polished demo rather than a reliable development tool, and urged clearer limits and faster support responses to prevent costly project stalls.

Kim Hyttel on Trustpilot in the review 'Good for mock ups' complained that Lovable performs well for simple prototypes but becomes costly and unreliable for feature work. The user said credit consumption spiked when requests required API connectivity or complex logic, and that support was unhelpful. They advised caution for anyone expecting production-ready integrations, noting frequent rollbacks and time lost restoring earlier versions instead of progressing the project at scale.

Ilya Klipinitser on Trustpilot in the review 'Lovable- the worst experience and the…' recounted a failed project that required paying external help to reach partial functionality after Lovable's agent broke code and consumed credits without delivering fixes. The reviewer said support responses were slow and unsatisfactory, and that repeated AI attempts wasted money. They warned other users to back up work and avoid relying on credits as the debugging path.

Steven Vd Peijl on Trustpilot in the review 'In the first 1-2 days it seems amazing…' harshly described Lovable as unreliable after initial success, saying the AI repeatedly reverted desired changes, deleted or restored elements without consent, and drained credits. The reviewer advised hiring a junior developer instead of paying for credits, claiming the platform created more work than it solved and left them frustrated and underwhelmed by support responses.

Chirag Gadhvi on Reddit in the thread '5/5 Credits in Lovable, Reset Done, But Can’t Generate—Help! 🆘' said the platform showed full daily credits yet blocked generation due to a monthly cap, leaving them confused about limits and upgrade prompts. The post described trapped workflows and urged clearer documentation on daily versus monthly allowances, with frustration at being forced toward paid tiers before basic free features reset and losing time.

Lucca Kjær on Trustpilot in the review 'I spend a lot of money on coins to build a system' said they lost access to a project after profile deactivation and spent credits without saving progress, calling the experience catastrophic. The reviewer warned against trusting Lovable with critical projects, described difficulty recovering work, and urged built-in backups plus clearer account policies to protect users from accidental data loss and credit waste.

Tomer on Trustpilot in the review 'Wasting credits fixing things without actually getting them fixed' described frequent credit losses when AI attempts failed to resolve errors. The reviewer said Lovable often returned incorrect patches, forcing restores and repeated prompts that burned funds without progress. They called for transparent billing, credit audit, and improved error diagnostics so users could understand why fixes often failed and avoid repeated costly attempts for same problem.

Stefan W on Product Hunt in the review 'From idea to working MVP in just a few hours' praised fast prototyping but warned that deeper features required heavy manual fixes and external tooling. The reviewer said Lovable accelerates initial design work yet often fails to sustain a project’s architecture as complexity grows, necessitating migration to GitHub and other tools to regain control. They recommended using Lovable for early validation only.

Darryl Lee on Product Hunt in the review 'Lovable by far is the best vibe coding tool for EVERYONE' reported that after initial success Lovable started making destructive changes, deleting working code and introducing random behavior. The reviewer said credit usage surged during bug repairs, and that support suggestions were slow. They advised maintaining local copies and moving to GitHub early to prevent losing progress and accumulating unexpected charges altogether.

Randy Whiting on Trustpilot in the review 'Have been trying to create an catalog app with Lovable' said the platform worked initially but broke down as complexity rose, causing cascading bugs and data deletion that forced restarts. The reviewer reported spending months trying to stabilise an app only to find unpredictable behavior and missing data, concluding Lovable had promise but was not ready for production-level projects without substantial manual intervention.