Modelence Mobile Builder - Build mobile apps by chatting with AI

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Now Modelence App Builder has support for creating native mobile apps. Just like web apps, describe what you want and get a fully working mobile app, working in sync with your Modelence auth and backend.

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The generated code actually looked like something I'd write myself, not a mess I'd need to rewrite from scratch. Deploying from the prompt was honestly the part that surprised me most.

 Glad to hear that!

 Deploying straight from the prompt is one of the fun features, glad you noticed and liked it 🙌

Spun up a quick project to test it and the auth and database were already wired together when the build finished. Nice surprise that I could actually poke around the generated code instead of it being a black box.

 Thank you for the feedback

Love that the generated code is actually inspectable and editable instead of trapping you in a black box, that ownership angle feels rare in this space.

 Thank you for the feedback!

Love that it gives you the code instead of hiding it behind a black box, that's a really thoughtful choice for a builder like this.

 Thank you for the feedback!

Finally an AI app builder that doesn't leave me stranded on the backend. Prompted a full-stack app and got auth + DB + monitoring wired up from day one. Code is clean TypeScript, no black box. Still early but this actually feels production-ready, not just a demo.

 Thank you for the feedback!

Congrats on the launch! 🚀 One question, if I generate an app with Modelence and later decide to host it on my own infrastructure, how easy is it to migrate? Is it completely vendor-independent, or are there any Modelence-specific dependencies?

 you can deploy the code anywhere; the code of your application is in a single monorepo, and it runs in 2 commands (both locally and on any other infrastructure). There are no hard dependencies, but there are some Modelence cloud services that your application might use: at this point, we have an email service (for sending emails) and cloud storage. Both are interchangeable with alternatives; we created them for convenience so you don't have to pay for multiple third-party tools.

Congrats on the launch, Aram, Eduard, and team! 🎉 I put the builder through a real test this week — described a CRM pipeline tracker, and it came back with auth, MongoDB, and a working kanban board already wired together. Then one Publish click and it was live on a production URL. As someone who built and sold a SaaS before, that last step is the one that matters — most tools hand you a prototype and wish you luck. This one ships. Excited to see mobile get the same treatment.

Appreciate the straight answer, most tools in this space quietly pretend the last mile doesn't exist. EAS getting you to a real signed build is the bulk of the pain gone. The one thing I'd keep watching for AI-generated apps is App Store review itself: Apple's 4.2 minimum-functionality rule tends to flag apps that read as too templated or thin. Does the generated output vary enough structurally to clear that, or is dodging it mostly on the person doing the customizing?

 good point, the UI and visuals are custom generated for each app, and while there may be some general patterns, there is no single template that keeps repeating.

How does the generated code stay maintainable when you need to add something the prompt didn't anticipate, do you end up rewriting large parts of it?

Same prompt generating both web and native from a shared backend is the part that stands out - most builders treat mobile as a bolt-on. Since it's real code on an open framework, what happens when someone hand-edits the native app directly and then goes back to prompt a change - does it merge cleanly or is that where things get messy?