Firebase Studio

Prototype AI full‑stack Firebase apps in your browser

Freemium Some setup needed ✓ Korean Web

About

Import a repo or Figma file and chat to scaffold UI, backend, auth, and data on Firebase services. Teams use it to stand up full‑stack web apps, test ideas, and deploy without local setup. Its App Prototyping agent, Gemini assistance, and tight Firestore/Auth/Hosting integrations set it apart from generic web IDEs.

Editor's Take

We recommend Firebase Studio for teams and solo founders who want an in-browser path from design or description to a deployed Firebase app; expect faster prototyping but plan for manual fixes when AI scaffolding misses complex logic.

Key Features

Describe your app with text or images → App Prototyping agent scaffolds frontend, APIs, Firestore, and Firebase Authentication
Import a Figma design → generate code via the Builder.io Figma plugin and continue editing in the browser
Connect a Git repo or local archive → web IDE links to Firebase services (Hosting, Functions, Firestore) for build and deploy
Open the template gallery → start from supported stacks like Next.js, React, Angular, Vue, Go, Java, .NET, Node.js, and Flutter
Chat with Gemini in Firebase → get code, tests, bug fixes, and dependency resolution inside the editor UI in one place with tool running support

Use Cases

A product manager spinning up a Firestore-backed prototype with login for a user test this week
A designer importing a Figma mock to generate a working React starter and iterate with AI assistance
A solo founder drafting an AI app that calls the Gemini API and deploying it to Firebase Hosting

Try It Like This

1
Prototype a Firestore-backed web app
A developer describes the app (auth, user profiles, realtime lists) in the chat → App Prototyping agent scaffolds the frontend, Firestore schema, and Firebase Authentication rules → deploy to Firebase Hosting from the web IDE to run a user test without local setup.
2
Turn a Figma mock into a React starter
A designer uploads a Figma file and uses the Builder.io Figma plugin to export components → import into Firebase Studio and use the chat to map UI actions to REST/Firestore endpoints → iterate visually and export or deploy the working React app directly from the browser.
3
Add login and server logic without writing infra
Describe required auth flows and server endpoints in natural language → the agent scaffolds Firebase Authentication, cloud Functions, and API routes wired to Firestore → run the app in the editor, test auth flows, and push a deploy to Hosting when ready.
4
Integrate Gemini API calls into an app
A developer outlines an AI feature (e.g., summarization or chat) and where it belongs in the UI → the IDE generates client and server code that calls the Gemini API, adds env config, and creates call wrappers in Functions → test in-browser and deploy with hosted secrets/config to Firebase Services.
5
Import existing repo and continue in browser
Connect a Git repo or upload a local archive into the web IDE → link repo code to Firebase Hosting, Functions, and Firestore with scaffolded config and build scripts → use Gemini-assistant to fix build errors, run tests, and deploy without cloning locally.

Pros & Cons

Pros

In-browser full‑stack scaffolding: describe an app and the App Prototyping agent generates frontend, Firestore schema, auth, and cloud functions tied to Firebase services.
Figma-to-code workflow: Builder.io Figma plugin + import produces editable UI code in the web IDE so designers can move from mock to working React starter quickly.
Tight Firebase integration: the IDE links projects to Hosting, Functions, Firestore, and Authentication for build and deploy flows without local setup.

Cons

AI generation can be unreliable or incomplete, sometimes producing broken logic or added features that don't match the single-prompt project overview.
Users report flaky or incomplete integrations with Firebase features, which can require manual fixes after scaffolding.
The agent may over‑generate features beyond the requested scope, requiring careful prompts and follow-up edits.

Getting Started

1 Visit studio.firebase.google.com and sign in with your Google account.
2 Start from a template or import a repo/Figma file, then open the App Prototyping agent.
3 Preview the app in the browser and connect Firestore/Auth; deploy to Firebase when ready.

Pricing

Plan	Price	Includes
Free	$0	Up to 3 workspaces (core environment and AI features included)
Blaze	Pay-as-you-go	Billing required; charges apply for resources beyond complimentary quotas (storage, database usage, advanced AI features)
Premium	Pricing not explicitly stated	Up to 30 workspaces for free

Korean Language Experience

The site provides a 한국어 option in the language selector, so the UI is localized; however, there's no systematic evidence about the AI assistant's responsiveness or code-generation quality specifically in Korean.