How to Export Your Lovable Project and Accelerate Development

You've created something tangible with Lovable, and perhaps you've already demoed it to your first beta users. But now you're encountering limitations, waiting on Lovable's roadmap for a feature you need today, or realizing that hosting flexibility is crucial for your pricing model.

The good news is you don't have to start from scratch. Lovable can export clean, production-ready code that you can own, deploy anywhere, and enhance with an AI coding agent.

This guide provides a walkthrough of the 15-minute export process, highlights three post-export issues that challenge many developers, and explains how to integrate tools like Cursor or Claude Code to ship your next ten features faster than you shipped your first ten in Lovable.

Know Before You Go: What You're Actually Downloading

You're exporting because your beta users are requesting features that Lovable can't deliver or that cause issues when you try to implement them. You want to maintain momentum without a complete rewrite. Understanding the contents of your download can prevent confusion if something doesn't work as expected.

When you export from Lovable, you receive a Vite-based React application with your UI, components, and client-side logic intact. This is a significant advantage. Your carefully designed user flows, the design you spent weeks iterating on, and all your polished interactions are preserved.

However, some of Lovable's most powerful features, such as authentication, Stripe integration, and AI orchestration, rely on their managed services and do not export as standalone code.

This is an intentional design choice that keeps the Lovable platform agile. It does mean you need to document these integrations before you export. It is recommended that you take screenshots of your "Settings → Integrations" page and make a note of the third-party services that power your login, payments, and AI features, including any API keys, callback URLs, and webhook endpoints.

Common Mistake: Assuming the backend will be exported automatically.

The Fix: Before exporting, create a migration checklist detailing every external service and its configuration.

Your export bundle also includes your Supabase/Postgres database schemas, located in supabase/migrations. This allows you to quickly spin up a new database instance and migrate your data structure.

A critical piece that requires manual work is setting up your environment variables. For security reasons, Lovable does not include your API keys or secrets in the export. You will need to manually configure these after downloading the project to connect it to services like Supabase and Stripe. We'll cover exactly how to do this in the "Post-Export Gotchas" section.

Choose Your Export Method (GitHub vs. Manual Download)

Now that you know what to expect in your download, let's discuss how to get it. Lovable offers two primary methods for exporting your code: a direct GitHub integration and a manual download (e.g., as a ZIP file). The right choice can mean the difference between coding in 15 minutes and spending days on cleanup.

GitHub integration is the recommended path. It's an official feature that syncs automatically and enables one-click deploys to Vercel or Netlify. Once connected, every save in Lovable is pushed to your GitHub repository, eliminating the need for manual downloads and reducing the risk of lost changes. A repository is also a prerequisite for collaborating with other developers or an AI coding agent.

The manual download option provides an instant ZIP file of your project. This method is straightforward and doesn't require a GitHub account. It's a great option for quick backups. However, you lose the benefits of auto-sync and version history unless you manually initialize a Git repository later.

Here's a simple decision framework:

• Already using GitHub? Use the GitHub integration.
• Need the code immediately without any setup? Use the manual download and migrate to Git when you have time.

Common Mistake: Using the manual download for rapid development and realizing weeks later that there is no version history when an AI agent introduces a breaking change.

The Fix: If you choose the ZIP route, run these commands immediately after unzipping the file:

1git init
2git add .
3git commit -m "Initial export from Lovable"

This will establish local version control. You can push it to a remote repository on GitHub later.

Step-by-Step: Export Your Lovable Project to GitHub in 5 Minutes

You've chosen the GitHub integration—a smart move. Here are the exact steps to get your code from Lovable to a new GitHub repository without encountering authorization errors or sync failures.

A key point to remember is that Lovable will create the repository for you. Do not create one on GitHub beforehand, as this can cause conflicts.

Here is the process:

1. Open your Lovable project and go to the editor view.
2. Locate the GitHub icon in the top-right corner of the workspace and click it.
3. Click "Connect to GitHub." This will open a GitHub permission pop-up.
4. Authorize Lovable in the pop-up window. You will grant it permission to create repositories and push code.
5. Back in Lovable, confirm the repository settings. Lovable will auto-generate a repository name, which you can change. Choose whether the repository should be private or public.
6. Click "Create Repository." Lovable will now create the repository and push your entire codebase, which typically takes 30–60 seconds.
7. Wait for the confirmation, usually a green checkmark, indicating the process is complete.
8. Click "View on GitHub" to verify that all your files have been successfully pushed.
9. Copy the repository URL from GitHub by clicking the "Code" button and copying the HTTPS or SSH URL.
10. Clone the repository locally by opening your terminal and running:

    1git clone [your-repository-url]
    2cd [your-project-name]

You now have a local copy of the code, ready to run, modify, or deploy. Auto-sync is enabled by default, meaning every save in Lovable will trigger a commit and push to GitHub. This synchronization is bi-directional.

Common Mistake: Creating a repository on GitHub first and then trying to connect it in Lovable, which can lead to merge conflicts.

The Fix: Always initiate the process from Lovable's interface. If you have already created a repository on GitHub, delete it before connecting from Lovable.

The 3 Post-Export Gotchas That Affect 80% of Projects

Your code is on GitHub and you've cloned it locally. You run npm run dev, but the application fails to start, throwing errors about missing environment variables or database connection failures. This is a common experience, but these three "gotchas" can be resolved in under 10 minutes each.

Gotcha #1: Missing Environment Variables

This is the most common reason a freshly exported project fails to run. Lovable doesn’t export your API keys or secrets for security reasons, so your local application doesn't know how to connect to your database or payment provider.

• Symptom: Your development server starts, but login fails, Stripe checkout produces an error, or AI features return a 401 Unauthorized error.

• The Fix: You need to create a local environment file to store your secret keys. Create a file named .env.local in the root of your project directory and populate it with the keys you documented earlier.

  Here is a practical example of what this looks like:

  1# Create a .env.local file in your downloaded project
  2SUPABASE_URL=your-project-url.supabase.co
  3SUPABASE_ANON_KEY=your-anon-key-here
  4STRIPE_PUBLISHABLE_KEY=pk_test_your-key
  5NEXT_PUBLIC_API_URL=https://your-api.com

  Once you've populated this file, save it and restart your development server. Your local application will now be able to connect to the same services your Lovable project used. No code changes are necessary—just proper environment configuration.

Gotcha #2: Outdated Dependencies

The dependencies bundled in your Lovable project may occasionally be slightly outdated. Running npm install might pull in packages with known security vulnerabilities, causing your CI pipeline to fail.

• Symptom: npm audit reports high-severity vulnerabilities, or your Vercel deployment fails with dependency errors.
• The Fix: Run the following commands immediately after cloning the repository:

  1npm install
  2npm audit fix

Gotcha #3: Deleting "Glue Code"

Lovable generates helper functions and API route wrappers that connect your frontend to backend services. This code might look like boilerplate that can be "cleaned up," but deleting it will break your application.

• Symptom: Fetch calls return 404 errors, authentication state is not persisted, or form submissions fail silently.
• The Fix: Do not delete any code until you have the local development server running and have manually tested every user flow.

Common Mistake: Starting new feature work before verifying that the local development server is running correctly. The Fix: Run npm install and npm run dev, then manually test every major user flow (e.g., signup, login, checkout) before writing any new code.

Wire Up Your AI Coding Agent (Cursor, Windsurf, or Claude Code)

You exported from Lovable to overcome limitations and maintain development velocity. An AI coding agent like Cursor or Claude Code can help you continue to build quickly. These tools support React, TypeScript, and the Vite setup from your exported project.

Here's how to get started in under 10 minutes:

1. Choose your agent. Cursor and Windsurf are standalone editors forked from VS Code, while Claude Code is available as a VS Code extension and CLI.
2. Install the agent. Download it from the official website or install it from the VS Code marketplace.
3. Open your project folder.
4. Provide context to the agent. Before asking it to build a new feature, give it a context-building prompt like:

   "Review this codebase and identify the main features, tech stack, and file structure."

5. Start coding with AI assistance. You can now ask the agent to build features, fix bugs, or refactor code without the message caps found in some platforms.

Common Mistake: Treating the agent as a magic code generator.

The Fix: Stay involved in the process. Review the code the agent generates, ask it to explain its reasoning, and test every change manually.

Avoid the "Rewrite Everything" Trap

Once the code is running locally, you might be tempted to refactor systems like authentication or billing. Resist this urge. Your customers care about whether your product solves their problem, not about the elegance of your code. Rewriting functional systems consumes valuable time that could be spent shipping features.

Instead, focus on the list of "must-ship features" you created before exporting—the features your beta users have requested and that will unlock paid tiers.

Lovable generates production-ready code. If a system is not broken and customers are not complaining, it is best to leave it alone. Refactor only when you encounter a real bottleneck, such as slow database queries or API rate limits.

Common Mistake: Rewriting authentication or billing "to own it." This replaces a proven infrastructure with untested code that will require weeks of debugging.

The Fix: Treat the exported code as your production codebase. Evolve it incrementally by adding features, fixing bugs, and refactoring only when there is a measurable reason to do so.

Take Control and Ship

Exporting your Lovable project is not a step backward; it's a step forward. You are moving production-quality code into an environment where you have complete control over the roadmap, deployment, and integrations.

This guide has shown you how to get your code onto GitHub, avoid common pitfalls, and set up an AI agent to maintain your development speed. By avoiding premature rewrites, you can stay focused on shipping features that matter to your users.

Your first paying customers are waiting for features only you can prioritize. Your competitors are not confined to a no-code editor, and neither should you be. Clone the repository, configure your environment, and start shipping. This is how prototypes become products, and products generate revenue.