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How to Integrate Lovable with IntelliJ IDEA

There is no Lovable IntelliJ IDEA plugin. The integration is Git-based: connect Lovable to GitHub, clone the repository, and open it in IntelliJ IDEA with the JavaScript and TypeScript plugin enabled. IntelliJ's built-in Git client, Vite run configuration, and terminal let you edit the React frontend alongside your Java or Kotlin backend — ideal for full-stack JetBrains teams.

What you'll learn

  • How to open and configure a Lovable Vite+React project in IntelliJ IDEA
  • Which plugins to install in IntelliJ for the Lovable tech stack
  • How to create a Vite run configuration for the local development server
  • How to use IntelliJ's built-in Git client to sync changes with Lovable
  • How to work with both the Lovable frontend and a Java or Kotlin backend in the same IDE workspace
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Beginner12 min read25 minutesDevOpsMarch 2026RapidDev Engineering Team
TL;DR

There is no Lovable IntelliJ IDEA plugin. The integration is Git-based: connect Lovable to GitHub, clone the repository, and open it in IntelliJ IDEA with the JavaScript and TypeScript plugin enabled. IntelliJ's built-in Git client, Vite run configuration, and terminal let you edit the React frontend alongside your Java or Kotlin backend — ideal for full-stack JetBrains teams.

Using IntelliJ IDEA with Lovable: Full-Stack JetBrains Workflow

IntelliJ IDEA is the IDE of choice for Java and Kotlin backend developers. When those teams build a frontend with Lovable, opening the React project in a separate editor like VS Code breaks the development flow — you end up context-switching between two IDEs, two Git clients, and two terminal sessions. The Git-based Lovable workflow solves this: connect Lovable to GitHub, clone the repository, and open it directly in IntelliJ IDEA alongside your backend code.

IntelliJ IDEA Ultimate has comprehensive JavaScript and TypeScript support built in, including full React JSX syntax highlighting, TypeScript type checking, and npm scripts integration. IntelliJ IDEA Community requires installing the JavaScript and TypeScript plugin from the JetBrains Marketplace. Either way, you get IntelliJ's powerful refactoring tools, multi-cursor editing, and code navigation (Cmd+Click to jump to definitions) working across your entire codebase — both the Lovable-generated React frontend and any Java or Kotlin backend services.

The workflow is bidirectional just like the VS Code approach: changes you push to GitHub from IntelliJ sync back into Lovable's browser editor automatically. This means your backend team can keep using Lovable's AI chat for rapid UI generation while the frontend engineers do fine-grained code work in IntelliJ. The two workflows coexist cleanly as long as everyone pulls from GitHub before starting a session.

Integration method

Developer Workflow

Lovable has no IntelliJ IDEA plugin. Integration is Git-based: Lovable syncs with GitHub, and you clone that repository and open it in IntelliJ IDEA. The JavaScript and TypeScript plugin provides IntelliSense, type checking, and React JSX support. IntelliJ's built-in Git client, terminal, and run configurations allow you to work with the Lovable React frontend in the same IDE you use for Java or Kotlin backend development.

Prerequisites

  • A Lovable project connected to a GitHub repository — connect via the GitHub icon in Lovable's top-right corner
  • IntelliJ IDEA installed (Ultimate or Community edition, version 2024.1 or newer) — download from jetbrains.com/idea/
  • Node.js version 18 or higher installed on your machine — download from nodejs.org
  • Git installed and configured with your GitHub credentials
  • IntelliJ IDEA Community users: the JavaScript and TypeScript plugin must be installed from the JetBrains Marketplace

Step-by-step guide

1

Connect Lovable to GitHub and clone the repository

The first step is getting your Lovable project onto GitHub so you can clone it into IntelliJ IDEA. Open your Lovable project in the browser editor. Look for the GitHub icon in the top-right corner of the interface — it shows the GitHub Octocat logo. Click it to open the GitHub panel. If you have not connected GitHub before, Lovable will guide you through an OAuth authorization flow. Once authorized, click 'Connect project', choose to create a new repository, give it a descriptive name, and click 'Transfer anyway' to confirm. Lovable will push all project files to the new repository and enable real-time sync — every change you make in Lovable's AI chat will commit to the main branch automatically. Now clone the repository into IntelliJ IDEA. Open IntelliJ IDEA and from the Welcome screen, click 'Get from VCS' (or go to File → New → Project from Version Control if you already have a project open). Select Git as the version control system, paste your repository URL (find it on GitHub under the green Code button), choose a local directory, and click Clone. IntelliJ will clone the repository and prompt you to open it. Click 'Open' and IntelliJ will index the project files. Because this is a JavaScript/TypeScript project, IntelliJ may prompt you to install the JavaScript and TypeScript plugin if you are using Community edition — click Install and restart when prompted.

Pro tip: If you prefer command-line cloning, you can clone via terminal first and then open the folder in IntelliJ via File → Open. Both approaches result in the same project structure.

Expected result: IntelliJ IDEA has cloned and opened your Lovable project. The Project panel on the left shows the src/, supabase/, and configuration files. IntelliJ begins indexing TypeScript definitions in the background.

2

Install required plugins and configure the JavaScript/TypeScript environment

IntelliJ IDEA Ultimate includes JavaScript and TypeScript support by default. If you are using Community edition, open the plugin marketplace: go to IntelliJ IDEA → Settings (or Preferences on macOS) → Plugins → Marketplace tab. Search for 'JavaScript and TypeScript' and install the JetBrains plugin. Also install the 'Tailwind CSS' plugin for autocomplete in Tailwind class attributes — search for 'Tailwind CSS' in the marketplace. Restart IntelliJ after installing plugins. Once the IDE restarts, IntelliJ needs to know where Node.js is installed so it can resolve npm dependencies and provide IntelliSense. Go to Settings → Languages and Frameworks → Node.js. Set the Node.js interpreter path to your Node.js installation — click the dropdown and IntelliJ usually detects it automatically. If not, click the folder icon and navigate to your Node.js binary (typically /usr/local/bin/node on macOS or C:\Program Files\nodejs\node.exe on Windows). Check the 'Coding assistance for Node.js' checkbox. Click Apply. IntelliJ will now use Node.js module resolution to provide IntelliSense, import suggestions, and type checking for the React and Supabase libraries in your Lovable project.

Pro tip: In IntelliJ IDEA Ultimate, go to Settings → Languages and Frameworks → TypeScript and enable TypeScript language service. This gives much better type error highlighting than IntelliJ's built-in TypeScript support alone.

Expected result: TypeScript files in the src/ directory show proper syntax highlighting, IntelliSense autocomplete works for React hooks and Supabase client methods, and Tailwind class names autocomplete inside className attributes.

3

Install dependencies and create a run configuration for the Vite dev server

Open IntelliJ's built-in terminal by clicking the Terminal icon at the bottom of the IDE or pressing Alt+F12 (Option+F12 on macOS). In the terminal, make sure you are in the project root directory (where package.json lives — the terminal should default to this location). Run npm install to install all dependencies. This downloads React, Vite, Tailwind CSS, the Supabase client, and all other packages listed in package.json. The installation takes one to three minutes. Once complete, create an environment file for local development: create a new file called .env.local in the project root. You can do this in IntelliJ by right-clicking the project root in the Project panel, selecting New → File, and naming it .env.local. Inside the file, add your Supabase credentials — VITE_SUPABASE_URL and VITE_SUPABASE_ANON_KEY. Find these values in your Lovable project's Cloud tab (click the + icon next to Preview) or in your Supabase project's API settings. Now create a run configuration so you can start the dev server with one click. Go to Run → Edit Configurations. Click the + button, select 'npm'. Name it 'Vite Dev', set the package.json field to your project's package.json file, set the Command to 'run', and the Scripts field to 'dev'. Click OK to save. You can now start the development server by clicking the green Run button in the top toolbar or pressing Shift+F10. The IDE opens the Run console showing Vite's output, including the local URL — typically http://localhost:5173.

.env.local
1VITE_SUPABASE_URL=https://your-project-id.supabase.co
2VITE_SUPABASE_ANON_KEY=your-anon-key-here

Pro tip: Add .env.local to your .gitignore file before committing anything. In IntelliJ, you can verify .gitignore coverage by right-clicking the file in the Project panel — if it shows greyed out, Git is already ignoring it.

Expected result: The Vite Dev run configuration appears in the toolbar. Clicking Run starts the dev server and opens the Run console showing 'Local: http://localhost:5173/'. Opening that URL in a browser shows your Lovable app running locally.

4

Use IntelliJ's built-in Git client to sync with Lovable

IntelliJ IDEA has a full-featured Git client built in, accessible via the Git menu in the menu bar and the Git tab at the bottom of the IDE. To commit and push local changes back to GitHub (and therefore to Lovable), make your code edits in the editor, then open the Commit window with Cmd+K (macOS) or Ctrl+K (Windows/Linux). IntelliJ shows a diff of all changed files. Review the changes, write a commit message describing what you changed, and click 'Commit and Push' to commit and immediately push to the remote. Lovable detects the new commit on GitHub's main branch within a few seconds and syncs the changes into its browser editor. To pull the latest changes that Lovable's AI committed during a chat session, use Git → Pull in the menu bar, or the pull button in the Git toolbar (the blue down-arrow icon). Always pull before starting a new editing session to avoid merge conflicts. IntelliJ's Git log view (accessible via Git → Show Git Log) shows every commit from both sources — your local edits and Lovable's AI-generated commits — with color-coded authors and diff views for each change. This gives you a complete audit trail of what the AI built versus what you edited manually, which is useful for code review.

Pro tip: Set up IntelliJ's auto-save and auto-format on commit: go to Settings → Version Control → Commit and enable 'Reformat code' and 'Optimize imports' before commit. This keeps AI-generated code formatted consistently with your manual edits.

Expected result: Changes pushed from IntelliJ appear in Lovable's browser editor within seconds. IntelliJ's Git Log shows both your commits and Lovable's AI commits on the main branch. Pulling before each session prevents merge conflicts.

Common use cases

Edit Lovable frontend alongside a Spring Boot backend in one IDE

Java backend teams using IntelliJ IDEA for Spring Boot development can open the Lovable React project as a module within the same IntelliJ workspace. This allows navigating between REST controller code and the React components that call those endpoints without switching editors.

Lovable Prompt

I have a Spring Boot backend and a Lovable React frontend. Can you help me set up the React project in IntelliJ IDEA so I can run both from the same IDE?

Copy this prompt to try it in Lovable

Use IntelliJ's database tools alongside Lovable's Supabase schema

IntelliJ IDEA Ultimate includes a database tool that connects directly to PostgreSQL. Connect it to your Supabase database URL to browse tables, run queries, and inspect data alongside your Lovable frontend code — all without leaving IntelliJ.

Lovable Prompt

What is the Supabase PostgreSQL connection string format I need to connect IntelliJ IDEA's database tool to my Lovable project's database?

Copy this prompt to try it in Lovable

Refactor TypeScript interfaces across the Lovable codebase

IntelliJ's refactoring tools work across TypeScript files. Use 'Rename' (Shift+F6) to rename an interface or type definition and have IntelliJ automatically update every reference across the src/ directory — useful for cleaning up AI-generated type names that tend to be verbose.

Lovable Prompt

Review the TypeScript types in my Lovable project and suggest better interface names for the database entity types.

Copy this prompt to try it in Lovable

Troubleshooting

IntelliJ shows 'Cannot resolve symbol' errors for React imports and Supabase types

Cause: Node.js is not configured in IntelliJ, so it cannot resolve npm packages. The JavaScript language service needs to know where the node_modules folder and Node.js binary are.

Solution: Go to Settings → Languages and Frameworks → Node.js. Set the Node interpreter path to your Node.js installation. Make sure node_modules exists in the project root by running npm install in the terminal. Then go to File → Invalidate Caches → Invalidate and Restart to force IntelliJ to re-index the project.

Tailwind CSS class names are not autocompleting in className attributes

Cause: The Tailwind CSS IntelliJ plugin is not installed, or it has not detected the tailwind.config.ts file in the project root.

Solution: Install the 'Tailwind CSS' plugin from Settings → Plugins → Marketplace. After restarting, the plugin should automatically detect tailwind.config.ts. If autocomplete still does not appear, open any component file, click the Tailwind CSS icon in the status bar at the bottom of IntelliJ, and verify the config file path is correct.

The Vite dev server run configuration fails with 'npm: command not found'

Cause: IntelliJ cannot find npm because Node.js was not detected or the Node.js interpreter is not set in the IDE settings.

Solution: Go to Settings → Languages and Frameworks → Node.js and set the Node interpreter explicitly. After setting it, go back to Run → Edit Configurations, open the Vite Dev configuration, and verify that the npm package manager field points to the npm bundled with your Node.js installation.

Best practices

  • Always run Git → Pull before starting a local editing session in IntelliJ to get the latest commits that Lovable's AI may have pushed to GitHub during any browser editor sessions.
  • Open your Lovable frontend project as a module within an existing IntelliJ multi-module project rather than a standalone project — this lets you navigate between Java/Kotlin backend code and React frontend code with Cmd+Click.
  • Use IntelliJ's built-in HTTP client (Tools → HTTP Client) to test your Supabase Edge Function URLs directly from the IDE during development, without switching to Postman or curl.
  • Configure the Prettier plugin for IntelliJ (available in the marketplace) to auto-format TypeScript and JSX on save, keeping AI-generated code consistent with manually written code.
  • Use IntelliJ's 'Find in Files' (Cmd+Shift+F) across both the React frontend and Java backend to locate all files that reference a particular API endpoint or data model — cross-stack navigation is one of IntelliJ's strongest advantages.
  • Set up IntelliJ's database tool (View → Tool Windows → Database) with your Supabase PostgreSQL connection string to browse tables and run queries without leaving the IDE.
  • When Lovable's AI generates new components, use IntelliJ's TypeScript language service to immediately check for type errors before pushing — catching them locally is faster than debugging in Lovable's browser editor.

Alternatives

Frequently asked questions

Is there a Lovable plugin for IntelliJ IDEA?

No, there is no official Lovable plugin for IntelliJ IDEA as of March 2026. The integration is Git-based: Lovable syncs with a GitHub repository, and you clone that repository into IntelliJ IDEA. The JavaScript and TypeScript plugin (built into IntelliJ Ultimate, available for Community via the marketplace) provides full React and TypeScript support for Lovable-generated projects.

Does IntelliJ IDEA Community edition support TypeScript and React?

Yes, but you need to install the JavaScript and TypeScript plugin from the JetBrains Marketplace. IntelliJ IDEA Ultimate includes this support by default. Community edition with the plugin installed provides sufficient TypeScript IntelliSense and React JSX support for working with Lovable projects, though the TypeScript language service integration is somewhat less refined than in Ultimate.

Can I open both my Java backend and the Lovable React frontend in the same IntelliJ project?

Yes. IntelliJ IDEA supports multi-module projects. You can have a root IntelliJ project with your Java or Kotlin backend as one module and the Lovable React project as another module in the same IDE window. This allows cross-language navigation and unified Git operations. Go to File → Project Structure → Modules → Add Module and point it to the cloned Lovable repo directory.

How do I avoid merge conflicts between my IntelliJ edits and Lovable's AI changes?

Always run Git → Pull in IntelliJ before starting a local editing session. Lovable's AI commits directly to the main branch whenever you use the chat interface in the browser. If you edit a file locally that the AI also modified in the browser without pulling first, you will get a merge conflict. The safest workflow is to pause Lovable AI sessions while doing local edits, or to work on different files than what the AI is currently generating.

Can I use IntelliJ's built-in Node.js debugger with the Vite dev server?

Yes. IntelliJ IDEA supports JavaScript debugging through its built-in debug client. Create a JavaScript Debug run configuration (Run → Edit Configurations → + → JavaScript Debug), set the URL to http://localhost:5173, and run the Vite Dev and debug configurations simultaneously. IntelliJ will attach the debugger to the Chromium browser instance it opens, letting you set breakpoints in your React TypeScript files and inspect variables during runtime.

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