# How to Deploy a Website With AI Without Manual Setup in 2026 > Deploy a website with AI in 2026 using GitHub, secure env vars, static or full-stack hosting, custom domains, HTTPS, testing, logs, and Kuberns agentic AI. - **Author**: rohan-kulkarni - **Published**: 2026-05-05 - **Modified**: 2026-09-18 - **Category**: Deployment Guides - **URL**: https://kuberns.com/blogs/how-to-deploy-a-website/ --- An AI coding assistant can help create a website, but publishing depends on how the project was generated. If the builder includes hosting, you can publish directly. If you have exported code, push it to GitHub and connect it to a deployment platform that can build the repository, apply secure environment variables and provide a live HTTPS URL. This guide focuses on deploying websites created with tools such as Cursor, Windsurf, Bolt, Lovable, v0 and other AI coding assistants. It does not cover hosting an AI model or deploying an AI-agent server. ## Two Ways to Deploy an AI-Generated Website The correct route depends on whether the AI tool controls the hosting or gives you a code project. ### Publish directly from the AI website builder Some AI website builders include a Publish or Deploy button. The builder hosts the generated site, assigns a temporary address and may let you connect a custom domain. This is the simplest route for a landing page, portfolio or small business site that stays inside the builder. Before publishing, check whether the builder supports custom domains, form handling, analytics, search indexing, code export and future migration. A fast first launch is useful, but the site should not become difficult to move or maintain later. ### Export the code and deploy through Git AI coding assistants and code-first builders usually produce a project containing HTML, React, Vite, Next.js, Node.js, Python or another framework. Export the project or commit it to a Git repository, push it to GitHub and connect the repository to a compatible deployment platform. A Git-based workflow gives you version history, repeatable deployments and a clear rollback point. It is the better route for a full-stack website, an application with user accounts or an app that will continue changing after launch. ## Choose the Deployment Route Based on What You Built Do not choose hosting until you know what the generated project needs at runtime. | What the AI tool produced | Suitable deployment route | |---|---| | Plain HTML, CSS and JavaScript | Static hosting, direct publishing or a build-folder upload | | React or Vite frontend | Static build hosting with the correct output directory | | Next.js with server features | A platform that supports its Node.js runtime and server behavior | | Node.js, Python or Go backend | A full-stack application platform with a persistent server process | | Website with a database, authentication or workers | A full-stack platform that supports the required services and environment variables | | Project without Git access | Direct builder publishing or a host that accepts ZIP or output-folder uploads | A static page only needs files served from a web host or CDN. A full-stack application also needs a runtime, server process, secrets, database connectivity, logs and reliable restart behavior. ## What to Check Before Deployment ![What you need before deploying a website](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/deployment-prerequisites.png) Check the project before connecting it to production: - **Repository:** Confirm the latest working code is committed and required files are not accidentally excluded. - **Production build:** Run the framework's build command locally or in CI and fix errors before deployment. - **Dependencies:** Commit the correct lockfile so production installs the tested package versions. - **Environment variables:** List required API keys, database URLs, auth secrets and service credentials without committing their values. - **Output or start behavior:** Identify the static build folder or the command that starts the server. - **External services:** Confirm production databases, APIs, email providers and authentication services are ready. - **Domain settings:** Record the production URL so CORS and authentication callback allowlists can be updated. For a detailed explanation of what happens after the code is ready, see [what one-click deployment actually does](https://kuberns.com/blogs/what-does-one-click-deployment-do/). ## Deploy an AI-Generated Website on Kuberns ![Deploy an AI-generated website with Kuberns](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/kuberns-home-page-new.png) Static hosting is sufficient for a frontend-only site. A generated full-stack website is different because the host must understand its framework, build the correct output, run the backend and provide the infrastructure the application expects. Kuberns is an Agentic AI platform for deployment. Its agentic AI analyzes the connected repository, detects the application stack and prepares the deployment configuration. The developer provides the secure environment variables required by the application instead of manually writing infrastructure files. This makes Kuberns a practical route for projects generated in Cursor, Windsurf or other code-first AI tools, especially when the repository contains a backend, API or database-dependent workflow. ### Deploy on Kuberns in three steps #### Step 1: Connect the GitHub repository Sign in to Kuberns, connect GitHub and select the repository containing the website. Use a repository and branch that contain the version you have already tested. #### Step 2: Provide secure environment variables Add the application secrets and service credentials it needs. Typical examples include database connection strings, API keys and authentication secrets. Keep these values out of the repository. #### Step 3: Deploy and verify the live website Start the deployment and follow its status and logs. After the live URL is available, test the important workflows rather than treating a successful build as the end of the launch. If the project includes a separate backend and database, the guide to [deploying a full-stack app with agentic AI](https://kuberns.com/blogs/deploy-full-stack-app-with-ai/) covers that architecture in more detail. ## Static vs Full-Stack Deployment Requirements The repository workflow is similar, but the production requirements change depending on whether the generated website is static or runs backend services. ### Static AI-generated website requirements A plain HTML website or frontend build does not need a persistent server process. Publish the generated files through the AI builder, upload the output folder to a static host or connect the Git repository to a platform that runs the build. Check these settings: - The production build command completes successfully. - The configured output folder matches the framework, such as `dist/` for many Vite projects. - Asset paths use the correct base URL and filename casing. - Single-page applications route unknown paths back to `index.html` when required. - Client-side environment variables contain no secret credentials. GitHub Pages works for appropriate static projects, while Netlify, Vercel and Cloudflare Pages support common frontend build workflows. A static host is not the right target when the application needs a continuously running backend. ### Full-stack AI-generated website requirements A full-stack website needs more than a compiled frontend. It may include a Node.js or Python server, API routes, a database, authentication, background tasks or uploaded files. Before launch, confirm: - The server reads the port and runtime configuration supplied by the platform. - Production URLs do not point to `localhost` or a preview domain. - Database migrations are ready and tested against the intended production database. - CORS allows the production frontend origin without exposing every origin unnecessarily. - OAuth providers include the production callback URL. - User uploads go to persistent object storage instead of the temporary application filesystem. - Logs and health behavior make startup or runtime failures visible. AI-generated code can look complete in preview while still missing these production settings. Review them before sending real users to the site. The article on [why AI-built apps break in production](https://kuberns.com/blogs/why-ai-built-apps-break-in-production/) provides a complete troubleshooting checklist. ## How to Connect a Custom Domain and Enable HTTPS Deploy to the temporary platform URL first. After the application works there, add the custom domain in the deployment dashboard. 1. Enter the custom domain in the hosting platform. 2. Copy the required A, AAAA or CNAME record. 3. Create that record with the domain registrar or DNS provider. 4. Wait for DNS to resolve and confirm the platform has issued an HTTPS certificate. 5. Redirect the non-preferred hostname to the preferred version. 6. Update CORS, authentication callbacks and application URLs to use the production domain. DNS propagation is separate from the application deployment. Avoid repeatedly changing records while the first update is still propagating. ## Common AI Website Deployment Problems ### The build fails after working in preview Compare the production runtime, package manager and dependency versions with the preview environment. Commit the correct lockfile and review the first meaningful build error instead of repeatedly redeploying unchanged code. ### The website loads but API requests fail Check that the frontend uses the production API URL. Confirm that the backend permits the production origin and that required server-side environment variables are available at runtime. ### Authentication redirects to the wrong address Replace preview and localhost callback URLs with the production callback URL in both the application configuration and identity-provider dashboard. Review secure-cookie and domain settings after HTTPS is enabled. ### Refreshing a page returns a 404 For a client-rendered single-page application, configure the host to serve `index.html` for application routes. Do not apply this rewrite to backend API paths. ### Images or uploaded files disappear Check filename casing and build-time asset paths. Store user uploads in persistent object storage rather than the application container's temporary filesystem. ## Post-Deployment Website Checklist Before announcing the launch: 1. Open the production URL on desktop and mobile. 2. Test navigation, forms, authentication and database writes. 3. Confirm no secret values appear in client-side code or browser responses. 4. Review build logs, runtime logs and browser-console errors. 5. Confirm HTTPS works and HTTP redirects correctly. 6. Test the custom domain and its preferred hostname. 7. Verify that an approved repository update triggers the expected deployment. 8. Keep the previous working release available for rollback. ## Conclusion The best deployment route depends on what the AI tool produced. A static site can use direct publishing or static hosting. A full-stack website needs a platform that can understand the repository, prepare the runtime and expose the operational information needed after launch. For an AI-generated full-stack website, Kuberns provides the clearest route from GitHub to production without requiring the developer to configure the infrastructure manually. Its agentic AI prepares the deployment configuration, while the developer supplies the secure environment variables and verifies the live application. [Deploy your AI-generated website on Kuberns](https://dashboard.kuberns.com/) Deploy your AI-generated website on Kuberns ## Frequently Asked Questions ### Can an AI coding assistant deploy my website? An AI coding assistant can prepare the website code and deployment files, but publishing depends on the tool. Some builders publish directly. For exported code, push the project to GitHub and connect it to a deployment platform that can build the repository and host the result. ### How do I deploy an AI-generated website? First identify whether the project is a static site, frontend build or full-stack application. Use direct publishing when the AI builder includes hosting. Otherwise, export or push the code to GitHub, connect a compatible deployment platform, provide secure environment variables, deploy and test the live URL. ### Can I deploy an AI-generated website without Git? Yes, if the AI builder provides direct publishing or the hosting service accepts a ZIP or build-folder upload. Git is preferable for applications that need repeatable deployments, change history, preview environments and automatic updates after each approved code change. ### What is the difference between deploying a static and full-stack website? A static website only needs its HTML, CSS, JavaScript and generated assets served from static hosting. A full-stack website also needs a server runtime, secure environment variables, database access, persistent services and operational logs. ### How do I connect an AI-built website to a custom domain? Add the custom domain in the hosting platform, copy the DNS record it provides and create that record with the domain registrar. After DNS resolves, confirm that HTTPS is active, the preferred domain redirects correctly and authentication callback URLs include the production domain. ### Which environment variables does an AI-built website need? The required variables depend on the application. Common examples include database connection strings, API keys, authentication secrets, email credentials and public frontend URLs. Add them through the deployment platform and never commit secret values to the repository. ### Can I deploy a website built with Cursor or Windsurf? Yes. Commit the generated project to a GitHub repository, confirm its production build works and connect the repository to a compatible deployment platform. Provide the required secure environment variables, deploy and verify the live application. ### How long does it take to deploy an AI-generated website? A small static site may deploy in a few minutes, while a full-stack application can take longer because it must install dependencies, build assets, start services, run migrations and pass health checks. Custom-domain DNS propagation is separate from the application deployment. --- - [More Deployment Guides articles](https://kuberns.com/blogs/category/deployment-guides/1/) - [All articles](https://kuberns.com/blogs/)