For many programmers or developers without a relevant background, Lovable is undoubtedly an excellent choice for rapidly generating web pages using AI. However, when you need more advanced customization, more flexible deployment options, or wish to move your project to another platform, you might start looking for alternatives. This article will serve as your technical guide, detailing how to successfully migrate and deploy your project created on Lovable to two powerful cloud deployment platforms: Zeabur and Insforge.
Lovable significantly lowers the barrier to web development with its AI-driven web page generation capabilities. However, as your project grows, you may encounter the following situations and consider migrating to other platforms:
Insforge is a platform that focuses on using AI Agents to help users reduce backend complexity. They recognize that backend development has long been a half-solved problem. AI can effortlessly generate front-end code but struggles with the complexities of the backend—database setups, authentication flows, and API design all require deep expertise. Insforge not only integrates many features but also incorporates MCP. After users complete the initial setup, they can communicate with the AI using natural language, reducing the need for developers to piece together multiple services while still enjoying DevOps benefits. This is why Insforge was created.
Zeabur is a platform that helps users deploy with one click, making it very friendly for users migrating from Lovable. Here are the steps to deploy your Lovable project to Zeabur:
You have two options here:
Option 1: If you are not yet familiar with GitHub, you can use the following method:
Export your website project from the Lovable project backend. Generally, Lovable will provide an option to download the project as a zip file containing HTML, CSS, and JavaScript files.
Option 2: If you are familiar with operating GitHub, you can use the following method:
Lovable projects can be directly integrated with GitHub. In Lovable, you can link your GitHub account and then directly export the project to create a new GitHub Repository.
(Option 1) Steps to unzip and import into the code editor:
git init in the editor's terminal to initialize a Git repository. This will facilitate version management and deployment later.After completing these steps, you can start using AI-assisted tools (like Cursor's AI features) to modify and optimize your project code.
(Option 2) git clone your saved Lovable project from your GitHub.
Enter an editor that supports the MCP development flow and input your Insforge API Key.
Example Prompts: can you see the insforge mcp?
Example Prompts: i have those @migrations from supabase, can you help me create the thing in insforge as well?
Example Prompts: can you help me set up the PostgreSQL database, storage buckets, and RLS policies in InsForge based on my Supabase schema?
Example Prompts: can you replace all Supabase client usage with InsForge SDK? please check my current supabase configuration first.
Example Prompts: can you verify that the authentication is properly configured with InsForge? please check my current auth setup.
Example Prompts: can you optimize my database queries to use proper relations and verify the database connection is working correctly?
Create Project, and select a region cluster.Deploy from GitHub, and select the Lovable project.Configuration, then click Edit Raw Environment Variables, and paste VITE_INSFORGE_BASE_URL=Your project's Insforge Base URL.Next.Congratulations on migrating from Lovable to Zeabur or Insforge, which will bring greater flexibility and scalability to your project. Zeabur, with its extremely simplified deployment process, is the top choice for a convenient and painless migration. Meanwhile, Insforge, with its strong support for AI, MCP, and backend services, provides broader possibilities for your project's future development.