Why choose an alternative to Lovable for your app?
You move when you need to own your infrastructure instead of renting a sandbox. While hosted builders offer speed, they lock your runtime, database, and build pipeline into a proprietary cloud where you do not control the costs or the cluster.
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You move when you need to own your infrastructure instead of renting a sandbox. While hosted builders offer speed, they lock your runtime, database, and build pipeline into a proprietary cloud where you do not control the costs or the cluster.
What actually happens when you export from a hosted builder?
When you click export in a tool like Lovable, you get the source code. This is usually a frontend folder and perhaps some serverless functions. You are holding the blueprints, but you are not holding the house.
The export does not contain the runtime environment, the database instance, your environment variables, the domain mapping, or the build pipeline. The moment the code leaves the platform, it is dead. It will not run on your laptop or a VPS without you manually configuring a Node.js environment, setting up a Postgres database from scratch, and wiring the API keys. If you used the platform's internal database or auth, those records stay behind. You have the code to talk to the database, but you no longer have the database itself.
If you want a landing page and never want to see infrastructure again, you should not move. A hosted builder is the right tool for that. But if you are paying $100/mo for a builder plus $60/mo for a separate database and hosting just to keep a vibe-coded app alive, you are paying a premium to be locked out of your own machine.
Where does the code go after you leave?
To make exported code work, you need a place that understands Docker and Kubernetes. You cannot simply upload a folder to a website. You need a cluster that can orchestrate the frontend, the backend, and the database as a single unit.
On my-app.engineer, you do not import a zip file. You describe the application in chat. The AI agents design a capability blueprint, write the source into a real repository, and deploy it as a Helm release onto a K3s cluster. This is a fundamental shift: the app lands in a cluster you own from the first deploy, not a sandbox owned by the platform.
The app answers on an address like <app>.<user>.my-app.engineer. Because the routing layer handles the certificates, you can point a custom domain at it without touching a manual DNS configuration.
Can I really own the infrastructure?
Ownership is not a "no lock-in" marketing claim. It is a technical configuration. On this platform, the app runs on K3s in a namespace that belongs to your account. It is deployed via helm upgrade --atomic, which ensures zero-downtime rolling updates. If a release fails its health checks, it rolls back automatically.
The most direct proof of ownership is the "bring your own node" path. You can join your own hardware to the cluster. A physical machine at home becomes a node in the cluster over a private network. Pods schedule onto your hardware just like any other node, which is how the running cost of an app can approach zero.
This environment uses standard tools: Kubernetes, Helm, Postgres, and Docker. If you decide to leave this platform, you aren't exporting a proprietary format. You are taking a standard Helm release and a Dockerized app that can run anywhere Kubernetes runs.
What are the risks of managing your own cluster?
Owning the cluster means you inherit the failures of the infrastructure. When you move away from a managed sandbox, you encounter real-world engineering problems. For example, if you configure Longhorn storage with multiple replicas on a single node, the replication traffic can starve etcd. This causes the control plane to crash-loop and the cluster to stop responding. The fix is a hard rule: on a single node, use one replica.
You also have to manage versioning. A major Postgres bump can crash-loop a database if you simply change an image tag from Postgres 15 to 16. Because Postgres does not upgrade the data directory automatically on start, the container will refuse the existing data and restart forever. Major upgrades must be deliberate migrations, not tag changes.
These are the costs of freedom. In a hosted builder, these problems are hidden from you, but so is the control. For those who have hit the deployment wall, the trade-off is worth it to stop paying unpredictable credit billing and finally own the machine.
my-app.engineer provides AI agents that build and deploy your app into a K3s cluster you own, allowing you to join your own hardware to the cluster to eliminate hosting costs.