# How to Deploy a Website From Google Antigravity in 2026 > The best way to deploy a Google Antigravity app in 2026 is through GitHub and Kuberns. Configure env vars, databases, HTTPS, logs, and domains securely. - **Author**: charan-achari - **Published**: 2026-01-22 - **Modified**: 2026-09-25 - **Category**: AI & DevOps - **URL**: https://kuberns.com/blogs/google-antigravity-to-one-click-ai-deployment/ --- The easiest way to deploy a website or full-stack application built with Google Antigravity is to test the project, push it to GitHub, and connect the repository to [Kuberns](https://kuberns.com/). Kuberns is an Agentic AI platform for deployment that analyses the repository and prepares the deployment configuration for the detected application stack. You still control the code, review the configuration, and provide required secrets such as API keys or database credentials. Kuberns provides the shorter route from a working Antigravity project to a live production application without requiring you to begin by configuring a cloud project, deployment pipeline, or server. ## TL;DR - Finish and test the application in Google Antigravity. - Push the project to a GitHub repository without committing secret values. - Connect the repository and production branch to Kuberns. - Review the runtime, build command, start command, port, and services detected by Kuberns' agentic AI. - Add the required environment variables and database resources. - Deploy, open the production URL, inspect the logs, and test the important user flows. ## What Is Google Antigravity? [Google Antigravity](https://antigravity.google/) is Google's agent-first development environment for building and working with software through AI agents. Developers can use it to plan features, generate and modify code, run commands, test an application, and review the agent's work within the development environment. Antigravity supports local and remote Model Context Protocol servers. These connections allow its agents to use external tools, including Google Cloud services. Google's official Antigravity guide, for example, demonstrates installing the Cloud Run MCP server and asking the agent to build and deploy a Cloud Run service. That does not mean every project is production-ready as soon as it works in preview. A deployed application still needs correct build and start commands, production environment variables, an externally accessible port, compatible dependencies, and any required database or storage services. > **💡 If you are assembling more than an editor, explore the [best AI tool stack for software developers](https://kuberns.com/blogs/ai-tools-stack-for-developers/) across planning, coding, testing, security, and deployment.** ## What You Need Before Deploying an Antigravity App Before connecting the repository to a hosting platform, confirm the following: - **A working production build:** Run the framework's build command and fix errors that may not appear in the development server. - **Documented commands:** Confirm the install, build, and start commands in `package.json`, `requirements.txt`, `pyproject.toml`, or the equivalent file for your stack. - **A production-safe port:** The server must listen on `0.0.0.0` and use the port supplied by the hosting environment instead of a hardcoded local port. - **A clean GitHub repository:** Commit the files needed to build the application, but exclude `.env` files, credentials, generated folders, and local-only files. - **A list of environment variables:** Record the variable names the app expects and which service needs each one. Keep the actual secret values outside GitHub. - **Production service requirements:** Identify PostgreSQL, background workers, scheduled jobs, persistent storage, or third-party APIs before deployment. - **External production URLs:** Replace assumptions about `localhost` with environment-based frontend, API, callback, and CORS origins. A successful preview proves that the application works in its development environment. These checks make sure the same project can start and communicate correctly after it moves to production. > **💡 An app can pass every local test and still fail after deployment. Use this guide to [fix an app that works locally but fails in production](https://kuberns.com/blogs/app-works-locally-fails-in-production/).** ## How to Deploy a Website From Google Antigravity The following workflow moves an Antigravity project from the development environment to a production URL through GitHub and Kuberns. ### Step 1: Test the App in Antigravity Run the application and test the user journeys that matter, not only the homepage. Confirm that authentication, API calls, forms, database operations, file uploads, and error states behave as expected. Then run the production build locally. A development server can hide missing imports, type errors, case-sensitive paths, and packages that were installed locally but never declared as dependencies. ![Building and testing a project with Google Antigravity](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/google-antigravity.png) ### Step 2: Push the Project to GitHub Create or select a GitHub repository and push the tested code. Check `.gitignore` before committing so that `.env`, credentials, dependency folders, build output, and editor-specific files stay out of version control. The repository should contain everything the production builder needs, including dependency manifests, lockfiles, application code, database migration files, and public assets. If the project has separate frontend and backend directories, keep both in the repository and note how each service starts. ### Step 3: Connect the Repository to Kuberns Sign in to [Kuberns](https://dashboard.kuberns.com/), connect your GitHub account, and select the Antigravity repository and branch you want to deploy. ![Connect the GitHub repository to Kuberns](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/connect-github.png) Kuberns' agentic AI analyses the selected repository and prepares a deployment configuration based on the detected application. This may include the runtime, framework, build command, start command, port, and services found in the codebase. ### Step 4: Review the Detected Configuration Review the proposed configuration instead of assuming every generated project follows the same structure. Check the application root, runtime, dependency installation, production build and start commands, port, service boundaries, and required database or worker process. Correct anything that does not match the repository. This is especially important for monorepos and projects where Antigravity generated multiple services. ### Step 5: Add Environment Variables and Resources Enter the production values for variables used by the application. Common examples include API keys, authentication secrets, database URLs, public frontend variables, and allowed origins. You provide these values because the source code can reveal a variable name but should not contain its secret production value. Keep different values for development and production, and confirm whether the chosen framework exposes variables to browser code. If the app needs PostgreSQL, attach the supported database resource and use its connection details in the appropriate environment variable. Apply database migrations as part of a controlled release step when the framework requires them. ### Step 6: Deploy and Verify the Live App Start the deployment and follow the build and runtime logs. Once it completes, open the production HTTPS URL and repeat the important user flows you tested locally. Verify that API requests reach the production backend, authentication redirects use the production domain, database operations succeed, browser requests are not blocked by CORS, required background processes start, and errors appear in the relevant logs. A successful build means the source code compiled. Production verification confirms that the running application and its connected services work together. > **💡 For a deeper repository-to-production workflow, follow this guide to [deploy a website with AI without manual setup](https://kuberns.com/blogs/how-to-deploy-a-website/).** ## Google Antigravity Deployment Options Antigravity can assist with more than one deployment route. The right route depends on the application architecture and how much cloud configuration the team wants to manage. | Deployment option | Best suited for | What the developer manages | | --- | --- | --- | | **Kuberns** | Supported full-stack GitHub projects that need a shorter path to production | Repository access, configuration review, secrets, application requirements, and release verification | | **Google Cloud Run** | Teams already using Google Cloud and deploying containerised or source-based services | Google Cloud project, billing, APIs, IAM, region, service configuration, environment variables, and connected resources | | **Vercel** | Frontend applications and compatible Next.js projects | Framework configuration, environment variables, functions, and any external backend or database services | Google's official Antigravity material demonstrates Cloud Run deployment through its MCP integration. That route can work well for teams committed to Google Cloud, but it requires the relevant Google Cloud project, billing configuration, authenticated tooling, enabled APIs, and permissions. Kuberns is the more direct option when the application is already in GitHub and the goal is to avoid assembling those cloud components before the first deployment. Vercel remains a natural option for frontend-focused applications, although a full-stack project may still need separately managed backend and data services. > **💡 If your decision extends beyond Antigravity, compare the [best PaaS platforms for AI-generated apps](https://kuberns.com/blogs/best-paas-for-ai-apps/) by databases, workers, deployment effort, and application fit.** ## Why Kuberns Is the Easier Way to Deploy an Antigravity App Kuberns is an Agentic AI platform for deployment. It fits this workflow because the handoff from Antigravity happens through the same GitHub repository that contains the application code. ![Kuberns Agentic AI platform for deployment](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/kuberns-home-page-new.png) After you select the repository, Kuberns' agentic AI analyses its structure and prepares the deployment configuration. You review that configuration, add secret values and required resources, and then start the deployment. The platform provides the production URL, deployment status, and logs needed to verify the release. This reduces the infrastructure work between a working Antigravity project and a live application: - no server provisioning before connecting the repository - no Kubernetes manifests for a supported application - no separate deployment pipeline required for the initial release - application configuration, environment variables, resources, status, and logs available through one workflow - a repeatable GitHub-based path for later releases Kuberns does not invent missing credentials or make an untested project production-ready by itself. The developer remains responsible for reviewing the detected configuration, supplying secrets, confirming application requirements, and testing the production release. > **💡 Before adding production credentials, review how to [manage environment variables in production](https://kuberns.com/blogs/environment-variables-in-production/) securely across environments.** ## Deploy Antigravity Apps With Environment Variables and Databases Many Antigravity projects begin as frontend prototypes and later add authentication, AI APIs, backend routes, or a database. Those additions change the deployment from a static-site upload into a full-stack release. For environment variables, separate public configuration from secrets. A value embedded in browser JavaScript is visible to users even if its name includes `KEY` or `SECRET`. Keep private API keys and database credentials on the server side, and use the framework's documented public prefix only for values that are safe to expose. For databases, confirm that the application reads its connection string from an environment variable and that migration files are included in GitHub. Decide when migrations will run and test the application against the production schema after deployment. Avoid relying on a local database file unless the hosting architecture explicitly provides suitable persistent storage. Full-stack applications also need correct communication between services. Set the production API URL, allowed frontend origin, authentication callback URL, and cookie security settings for the final HTTPS domain. > **💡 If your application needs relational data, see how to [deploy an app with PostgreSQL](https://kuberns.com/blogs/deploy-app-with-postgresql/) without leaving the database connection as a production afterthought.** ## Common Google Antigravity Deployment Errors and Fixes ### The Production Build Fails Run the exact production build command locally and inspect the first meaningful error. Confirm that dependencies and lockfiles are committed, imports use the correct letter case, and required build-time variables exist. ### The Build Succeeds but the App Does Not Start Check the start command and runtime version. Backend services must listen on `0.0.0.0` and use the port provided by the environment. A command that only starts a development server may not be suitable for production. ### The Frontend Still Calls Localhost Move the API base URL into environment-specific configuration and provide the production backend URL. Rebuild the frontend because many frameworks insert public environment variables during the build. ### Environment Variables Are Missing Compare the variables referenced in the code with the values configured for the correct service and environment. Preserve exact spelling and confirm whether a change requires a new build or deployment. ### Browser Requests Fail With CORS Errors Add the production frontend origin to the backend's allowlist. Include the correct protocol and avoid broad wildcard origins when authenticated requests or cookies are involved. ### Database Queries Fail After Deployment Check the production connection string, network access, TLS requirements, schema migrations, and database logs. Do not assume the local database schema already exists in production. ### An AI Feature Fails After Deployment Confirm that the API key is available only to the service that calls the model provider. Check provider quotas, model names, region availability, request logs, and error responses without printing secret values. > **💡 When the failure is unclear, start with the [production debugging guide](https://kuberns.com/blogs/app-works-locally-fails-in-production/) and isolate whether it occurs during the build, startup, or a user request.** ## Deploy Your Antigravity App Without Manual Cloud Setup Google Antigravity can accelerate planning, coding, testing, and tool use, but a working development preview is not the final production environment. The application still needs a repeatable deployment path, secure configuration, compatible services, and release verification. For a supported project, the shortest route is to push the tested code to GitHub, connect the repository to Kuberns, review the configuration prepared by its agentic AI, add the required environment variables and resources, and deploy. You can then validate the live URL and logs without beginning with manual server or Google Cloud project setup. [Deploy your Google Antigravity app with Kuberns](https://dashboard.kuberns.com/) Deploy a Google Antigravity app with Kuberns ## Frequently Asked Questions ### How do I deploy a website from Google Antigravity? Test the application in Antigravity, push the project to GitHub, connect the repository to Kuberns, review the detected deployment configuration, add the required environment variables, and deploy. After it finishes, verify the production URL and logs. ### Can a Google Antigravity app be hosted outside Google Cloud? Yes. If the application is stored in a standard GitHub repository and its runtime is supported by the chosen platform, it can be deployed outside Google Cloud. Kuberns provides a GitHub-based route for supported web applications and backend services. ### Can I deploy an Antigravity project through GitHub? Yes. Push the tested project to GitHub, keep secret values out of the repository, and connect that repository to a deployment platform such as Kuberns. Future deployment workflows can then use the selected repository and branch. ### Does Kuberns support full-stack Antigravity applications? Kuberns can deploy supported full-stack projects from GitHub. Its agentic AI analyses the repository and prepares the deployment configuration. You should review the detected services and add any required environment variables or database resources before deploying. ### How do I add environment variables to an Antigravity app? Identify the variable names used by the application, such as API keys and database URLs, and enter their production values in the deployment platform. Do not commit secret values to GitHub. Confirm that frontend variables follow the naming rules required by the framework. ### Do I need a Google Cloud project to deploy an Antigravity app? A Google Cloud project is required for the native Cloud Run route, along with the relevant billing, APIs, authentication, and permissions. It is not required when you deploy a supported GitHub repository through an independent platform such as Kuberns. --- - [More AI & DevOps articles](https://kuberns.com/blogs/category/ai-devops/1/) - [All articles](https://kuberns.com/blogs/)