Cursor is built on the VS Code codebase, so the environment and editor experience will feel familiar. It also provides an interactive, immersive workflow for scaffolding projects and interacting with AI assistants.
- We’ll create a Vite + React project named
image-optimizer-web. - Install dependencies, run the dev server, and confirm the default Vite + React app loads.
- Inspect the scaffolded
src/App.jsxand use it as the basis for integrating the ImageOptimizer Python endpoint.
- One-line CLI (recommended for speed):
- Interactive flow:
If you see an
EPERM or root-owned files error related to ~/.npm, run sudo chown -R $(whoami) ~/.npm to restore ownership, then retry npm install.http://localhost:5173/ in your browser. You should see the Vite + React welcome page with the counter example demonstrating hot module reload.
Quick reference: common commands
Examine the scaffolded app
The Vite React template includes a minimal
src/App.jsx, a stylesheet, and assets. Here is the default src/App.jsx from the template (corrected and ready to use):
- Basic asset imports (
/vite.svgand./assets/react.svg). - A simple counter implemented with
useState. - A demonstration of HMR (edit the file, save, and the browser updates instantly).
- Add new components under
src/components. - Create an API utility (
src/lib/api.jsorsrc/services/imageApi.js) to call your ImageOptimizer Python endpoint (likely running on a different port). - Use fetch or Axios to POST images or URLs, receive optimized output, and render results in the UI.
- Configure a proxy during development (Vite
server.proxy) if you want to avoid CORS while calling a local backend.
- Vite — Next Generation Frontend Tooling
- React — Main Documentation
- Cursor IDE (reference for the Cursor environment)