# What to Do After Vibe Coding? How to Deploy Your App in 2026 > Finished vibe coding your application? Push it to GitHub, connect the repository to Kuberns, and let Agentic AI handle the build and cloud deployment. - **Author**: suyash-tiwari - **Published**: 2026-04-27 - **Modified**: 2026-09-30 - **Category**: Deployment Guides - **URL**: https://kuberns.com/blogs/after-vibe-coding-deploy-your-app/ --- After vibe coding, the fastest path to a live application is to push the project to GitHub and connect that repository to Kuberns. Its Agentic AI detects the stack, prepares the build, configures the required deployment infrastructure, and produces a live HTTPS application without making you assemble servers or deployment pipelines. Some vibe-coding tools include built-in publishing for previews or simple applications. Others export code to GitHub. If you want to deploy the exported project without manually configuring databases, servers, HTTPS, or build pipelines, [Kuberns](https://kuberns.com/) provides the deployment layer after the coding tool finishes its job. This guide explains what to check in the generated project, how to move it to GitHub, and how Kuberns takes it from repository to a verified live deployment. **TL;DR:** - Confirm that the generated project runs and keep secrets out of the repository. - Push the complete project to GitHub. - Connect the repository to Kuberns. - Let Kuberns detect the stack and configure the deployment. - Review the build and verify the live HTTPS application. ## Step 1: Identify What Your Vibe-Coded App Actually Contains The tool used to generate the code does not determine the hosting requirement. The exported architecture does. Start by identifying these components: - **Frontend:** React, Vue, Next.js, Nuxt, SvelteKit, or static HTML. - **Backend:** API routes, Node.js server, Python service, PHP application, or another runtime. - **Database:** PostgreSQL, MySQL, MongoDB, SQLite, Firebase, Supabase, or another service. - **Background work:** Queues, workers, scheduled jobs, email processing, or AI tasks. - **Persistent connections:** WebSockets, bots, streaming responses, or long-running processes. - **Storage:** User uploads, generated files, or media that must persist between releases. - **External services:** Authentication, payments, email, analytics, webhooks, and AI APIs. Check `package.json`, dependency files, server entry points, environment-variable examples, database schemas, and build scripts. Ask the coding assistant to produce an architecture inventory, but verify every item against the repository. Do not assume a Next.js project is frontend-only. API routes, Server Actions, middleware, and server-rendered pages introduce runtime requirements. Likewise, a visually simple application may depend on a database or background process. > **💡 If you are still choosing a builder, compare the [best AI vibe-coding tools](https://kuberns.com/blogs/best-vibe-coding-tools/) by code access, GitHub workflow, and deployment options.** ## Step 2: Make the Generated Code Ready for Deployment Run the production installation and build process in a clean environment. A development server can hide missing dependencies, unresolved imports, case-sensitive filenames, and browser-only assumptions that fail in production. Before pushing the repository: 1. Confirm the documented runtime version. 2. Lock dependency versions and retain the correct lockfile. 3. Make sure the production build completes. 4. Confirm the application listens on the platform-provided port and `0.0.0.0` when required. 5. Remove development-only data, mock authentication, and debug routes. 6. Verify the start command launches the production server. 7. Ensure writable data is not stored on an ephemeral application filesystem. Treat AI-generated configuration as a draft. Remove unused packages, review scripts before running them, and confirm that every dependency is necessary. ### Secure secrets and access Search the repository and Git history for API keys, tokens, passwords, private URLs, and service credentials. Move them to environment variables and rotate anything that has already been exposed. Check authentication and authorization separately. Authentication proves who the user is. Authorization determines which records and actions that user can access. A generated application may have a working login screen while still exposing administrative endpoints or other users' data. > **💡 Use the [AI-built app production checklist](https://kuberns.com/blogs/ai-app-prototype-to-production/) for deeper coverage of secrets, authentication, monitoring, and critical-path testing.** ## Step 3: Choose Hosting Based on the Workload Built-in hosting can be convenient for a prototype, but production fit depends on runtime support, data services, security, portability, and operational controls. | Application requirement | Suitable hosting model | Confirm before choosing | |---|---|---| | Static frontend or landing page | Static hosting with CDN | Build output, SPA routing, environment values | | Full-stack framework with request-based APIs | Compatible managed application or function platform | Runtime, duration, regions, database connections | | Persistent Node.js, Python, Go, or PHP API | Managed container or application platform | Start command, port, health checks, scaling | | Worker, bot, or queue consumer | Persistent process or managed worker | Restart policy, logs, queue connectivity | | Scheduled task | Scheduled function, cron job, or worker | Timeouts, retries, idempotency | | WebSockets or continuous connections | Platform with documented connection support | Connection limits, scaling, draining | | Private VPC or regulated workload | Private managed environment or self-hosted infrastructure | Networking, compliance, operations ownership | Vercel supports full-stack frameworks and server-side functions, so it is incorrect to classify it as frontend-only. It can be a good fit when the application matches its runtime and function model. A continuously running process, unsupported system dependency, or workload requiring persistent server behavior may fit a container platform better. If a vibe-coding tool includes hosting, evaluate whether you can export the code, connect a custom domain, separate environments, inspect logs, restore backups, and migrate later. A fast preview is useful, but it is not the only production criterion. > **💡 Compare database, worker, and operational support across the [best PaaS platforms for AI-generated apps](https://kuberns.com/blogs/best-paas-for-ai-apps/).** ## Step 4: Push the Complete App to GitHub GitHub gives Kuberns a versioned source of truth for the deployment. Export the complete generated project, create a repository, include the correct dependency lockfile, and push the code. Do not commit `.env` files, credentials, database exports, or uploaded user data. An `.env.example` can list required variable names with safe placeholders, but the real values must stay outside the repository. If the vibe-coding tool already synchronizes with GitHub, confirm that the latest working version is present and that the repository contains the frontend, backend, and configuration files the application requires. You do not need to create a manual CI/CD pipeline before connecting it to Kuberns. > **💡 See how Kuberns turns repository changes into [automated software deployment from GitHub](https://kuberns.com/blogs/how-to-implement-one-click-automated-software-deployment/).** ## Step 5: Connect the GitHub Repository to Kuberns [Kuberns](https://kuberns.com/) is an agentic AI platform for deployment. It connects to a GitHub repository, detects the application stack, prepares the build, and deploys the application on managed cloud infrastructure. ![Kuberns Agentic AI platform for deploying a vibe-coded application](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/kuberns-home-page-new.png) The deployment workflow is intentionally short: 1. Sign in to the [Kuberns dashboard](https://dashboard.kuberns.com/) with GitHub. 2. Select the repository that contains the vibe-coded app. 3. Start the deployment. ![Connect the GitHub repository containing the vibe-coded app to Kuberns](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/kuberns-registration.png) Kuberns reads the repository, detects the framework and runtime, prepares the build, and configures the deployment infrastructure. If the application depends on a value that cannot be discovered from code, such as a third-party API key, the workflow prompts you for that value without requiring you to provision the underlying infrastructure manually. ![Kuberns Agentic AI detecting the stack and deploying the application](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/agent-deployment-process.png) The repository still needs to contain working application code and valid dependency files. Kuberns handles the deployment layer, while you remain responsible for the behavior and security of the application the vibe-coding tool generated. Kuberns plans start at $7, with a Trial Option available. Bundle packs can provide additional savings depending on deployment needs. ### Tool-specific handoff guides - [Deploy a Cursor application](https://kuberns.com/blogs/deploy-cursor-website-on-kuberns/) - [Deploy a Bolt.new application](https://kuberns.com/blogs/how-to-deploy-bolt-new-website/) - [Deploy a Windsurf application](https://kuberns.com/blogs/how-to-deploy-from-windsurf/) - [Deploy an Emergent application](https://kuberns.com/blogs/deploy-emergent-app-to-production/) > **💡 For the underlying concept, read [what vibe deployment means](https://kuberns.com/blogs/what-is-vibe-deployment/) and where it fits after AI-assisted development.** ## Step 6: Verify the Live Deployment A successful deployment gives you the live URL. Open it and confirm that the application behaves the same way it did during development. ![Kuberns dashboard showing the deployed application and its production status](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/deployed-dashboard.png) Immediately verify: - The health endpoint responds successfully. - Build and runtime logs contain no recurring errors. - Registration, authentication, and authorization work. - The most important user journey succeeds end to end. - API routes, background jobs, webhooks, and email work. - HTTPS, redirects, CORS, and the custom domain are correct. - Any database and uploaded-file features work as expected. Use the Kuberns build and runtime logs if a route or service fails. The logs help separate an application error from a deployment problem without requiring direct server administration. > **💡 When a release fails, use the [AI-built app production troubleshooting guide](https://kuberns.com/blogs/why-ai-built-apps-break-in-production/) to diagnose configuration, databases, ports, builds, storage, and crashes.** ## When Should a Company Self-Host a Vibe-Coded App? Self-hosting inside a VPC may be appropriate when the application requires private connectivity, specific compliance controls, custom network policies, dedicated infrastructure, or integration with internal services that cannot be exposed publicly. It also changes ownership. Your team becomes responsible for operating the runtime, patching systems, managing certificates, configuring observability, testing backups, scaling capacity, and responding to incidents. The code being AI-generated does not reduce those operational requirements. Before choosing self-hosting, document the exact requirement that a managed platform cannot meet. If the goal is only to avoid DevOps work, a managed application platform is usually the more direct fit. If private infrastructure is mandatory, involve the security and operations owners before selecting the deployment architecture. ## The Final Step for a Vibe-Coded Project: Connect It to Kuberns Vibe coding ends when the application works in the builder or local development environment. The final step is making that application accessible to real users, and that does not require rebuilding the project or configuring cloud infrastructure manually. Push the working code to GitHub and connect the repository to Kuberns. The Agentic AI reads the project, detects the stack, prepares the build and infrastructure, and deploys the application to a live HTTPS URL. The complete transition is: 1. Build the application with Cursor, Bolt, Windsurf, Lovable, Emergent, or another vibe-coding tool. 2. Push the complete working project to GitHub. 3. Connect the GitHub repository to Kuberns and deploy. That is the correct handoff from vibe coding to production deployment. The coding tool creates the application, GitHub stores the source, and Kuberns handles the deployment layer. ## Conclusion The direct path after vibe coding is to put the working project in GitHub and connect the repository to Kuberns. The platform detects the stack, prepares the build and infrastructure, and deploys the application without asking you to configure servers, PostgreSQL infrastructure, or a manual release pipeline. You still need to keep credentials out of the repository and verify that the generated application works correctly. The deployment itself, however, remains a GitHub-to-Kuberns workflow rather than a long manual DevOps process. Deploy a vibe-coded app with Kuberns ## Frequently Asked Questions ### How do I deploy a vibe-coded app? Identify the application's runtime and services, run a production build, remove secrets from the repository, push the code to GitHub, choose hosting that supports the workload, configure environment variables and databases, deploy to staging, and verify production before directing users to it. ### Where should I host a vibe-coded app? Choose hosting according to the application architecture. Static sites need CDN-backed static hosting, request-based full-stack apps need a compatible managed runtime, and long-running APIs, workers, bots, or WebSocket services generally need persistent compute. ### Can I deploy a full-stack vibe-coded app with PostgreSQL? Yes. Connect the GitHub repository to Kuberns. Its Agentic AI detects the application stack and database requirement, then prepares the deployment without requiring you to provision PostgreSQL infrastructure manually. ### How do I securely deploy a vibe-coded app? Keep credentials out of the repository, connect the GitHub project to Kuberns, and provide any secret values the application requires through the secure deployment flow. Kuberns handles the infrastructure, HTTPS, and deployment configuration while you verify the live application. ### Do I need to configure infrastructure manually on Kuberns? No. After you connect the GitHub repository, Kuberns detects the stack and prepares the build and infrastructure through its Agentic AI deployment workflow. You only need to provide application-specific values that cannot be inferred from the code, such as a third-party API key when the app requires one. ### Can Vercel deploy a full-stack vibe-coded app? Vercel supports full-stack frameworks and server-side functions. It can suit applications that fit its supported runtimes and function model. Applications that require continuously running processes, specific system packages, or other persistent-server behavior may need a container-based platform. ### Can I self-host a vibe-coded app inside a VPC? Yes, if the exported code and dependencies can run in your environment. Self-hosting may be appropriate for private networking, compliance, or infrastructure-control requirements, but your team becomes responsible for provisioning, security, observability, backups, scaling, and upgrades. ### What should I check after deploying a vibe-coded app? Verify the health endpoint, logs, authentication, database migrations, key user journeys, redirects, webhooks, email delivery, file uploads, HTTPS, and the custom domain. Confirm monitoring, backups, and rollback procedures before announcing the release. --- - [More Deployment Guides articles](https://kuberns.com/blogs/category/deployment-guides/1/) - [All articles](https://kuberns.com/blogs/)