Rocket Blogs
AI App Development
Apr 24, 2026
Updated Apr 24, 2026
You already know what you're trying to figure out. Type it. Rocket handles everything after that.
Table of contents
Can Rocket import a JavaScript-only Next.js repo, or does it require TypeScript?
Does Rocket overwrite my main branch when it pushes code?
Can I keep developing locally while using Rocket?
Is Rocket the right fit if I want to keep my existing Next.js codebase and not rebuild?
Rocket.new can clone and continue your existing Next.js TypeScript repo without a rewrite. It reads your codebase, matches design patterns, and syncs with GitHub using AI agents. You ship faster with up to 80% fewer tokens while keeping full code ownership.
Can Rocket.new pick up your existing Next.js repo and keep shipping without a rewrite?
Yes. Rocket.new clones a Next.js TypeScript repo from GitHub, installs dependencies, spins up a live preview, and continues building on the app with two-way sync, full code ownership, production-ready output for web and mobile apps, and up to 80% lower token consumption than a blank start.
Next.js sits at around 59% adoption among JavaScript developers per the 2025 State of JS survey, so plenty of teams already ship a working app they want to grow with AI tools, not replace.
So, what does the platform actually do when you point it at your app repo?
You keep your code, your deployment setup, and your Git history on GitHub. What changes is who writes new code next. Now you and the AI agents share that job across full-stack app work, web apps, and new features.
Well, parsing comes first. Rocket's AI parses your file tree before writing anything. So your originally created pages, components, and routes are recognized, not rebuilt. That is the difference between AI app builders that extend your work and tools that quietly discard it.
Rocket's docs spell out exactly what moves over and what stays put. Details live in Rocket's GitHub import documentation.
Imported into Rocket when you clone from GitHub:
Skipped during import:
Next, the platform analyzes your styles before it generates new UI components. So the button you shipped, the spacing, the color tokens, they stay consistent. No rogue component that looks like it came from a different app.
Then, Rocket integrates deeply with Supabase if your app project uses it. The AI detects the existing schema based on initial prompts, so new backend logic reuses your tables, auth rules, and row-level security. That keeps your full-stack web project consistent from database to UI.
Not all of them are. Usage is still high across the developer community. But some developers are moving, and their reasons are specific. The 2025 State of JS survey showed Next.js with 21% positive and 17% negative sentiment, generating more comments than any other project in the survey.
So yes, people are leaving, but the exit is selective, not mass. And the platform does not force a choice. Rocket runs Next.js for web apps because that is where AI code generation actually works well on industry-standard tools today.
Yes, and the numbers are not close.
Relevance is not the question. Fit is. If your team already builds web apps in Next.js and TypeScript, staying put and bringing AI in is the practical move.
Rocket is not just a code-generation box bolting on new app pages. It can rewrite parts of your app project when you ask, which matters as a project grows.
Each change goes through AI agents specialized for a stage: planning, coding, refactoring, and testing. Your developers can review results before merging. And because Rocket pushes to a rocket-update branch and opens a pull request, nothing lands on main without review.
The decision tree is short. Here it is in one table.
| Dimension | Blank build | Continue the existing Next.js repo with Rocket |
|---|---|---|
| Time to run a preview | Under a minute | Under an hour for a clean repo |
| Token consumption | Full price | Up to 80% less |
| Design consistency | Based on prompts | Matches your patterns |
| Team onboarding | New patterns | Same conventions |
| Deploy target | Netlify by default |
The free tier lets you test either path before committing to paid plans. That matters because some AI app builders charge from message one with no free tier at all. Not all of them want you to build apps before you pay.
For Next.js TypeScript tasks, sync goes both ways. You push changes out. You pull changes in. This is the piece that lets your developers use Rocket alongside a regular code editor.
You describe changes in natural language, Rocket writes code, and the push lands on a clean branch. Natural language prompts, natural language commands, and chat all route to the same AI agents underneath.
Rules to know before you rely on it:
So a backend developer can keep working in a preferred IDE, push to main, and the next time you open Rocket, the AI sees those changes. Multiple developers can work on the same app project without collisions, because every Rocket change arrives as a pull request.
Rocket runs a genuinely usable free tier, which sets it apart from AI app builders that charge from message one. The free tier is where most developers test the app builder before moving to paid plans, and it is enough to deploy a small app end-to-end.
Paid plans include more than extra tokens:
For context, Rork AI runs message-based pricing with no free tier: $20/month for 100 messages, up to $200/month for 1,000 messages, no rollover. For teams continuing an existing app instead of burning tokens on a greenfield build, Rocket's rollover and up to 80% efficiency gain on paid plans shifts the math toward real headroom.
Note that across every paid plan, code export covers full frontend plus backend. No code is locked behind upsells, and code ownership is identical on every paid plan. The generated code is yours the moment it hits your repo.
Here, Rocket takes a different path than most AI app builders. Rocket generates Flutter for native mobile apps. It does not generate react native code.
So when you read a promise of iOS and Android output, the question worth asking is what the generated code actually is. Rork AI generates React native code through Expo.
A few other platforms do the same and stop at react native. Some generate native code directly. Rocket picked Flutter for mobile apps because the rendering pipeline produces consistent results across iOS and Android without the native module friction React native can surface over time.
If your team runs React native apps in production and wants to keep building on React native, Rocket is not the match for the mobile side. But if you are starting mobile fresh while continuing your Next.js web app, the platform gives both on one platform, two frameworks, zero context switch between AI app builders. Two different languages underneath, Dart for mobile and TypeScript for web apps, but one unified workflow on top.
Many teams with native mobile apps in production argue React native vs Flutter every quarter. Rocket's pick was Flutter on a mobile-first rendering pipeline. That means your Next.js repo import covers the web app cleanly while a separate Flutter task handles iOS and Android native mobile apps. Picking react native or Flutter is a stack decision, not a feature gap in the platform.
A mobile-first design out of Rocket is production-ready for iOS and Android out of the box. You describe the screens in plain English, the AI writes code in Flutter, and the output is a mobile-first app ready to deploy as installable mobile applications. Teams that prefer React native still have options in the broader tools space. The difference is that Rocket commits to Flutter for native mobile and delivers clean native code there.
Andrej Karpathy, the AI researcher who coined "vibe coding" in early 2025, captured the shift in how developers work with AI tools:
"I will call this vibe coding: fully give in to the vibes, embrace exponentials, and forget that the code even exists." - Karpathy on X, quoted in Klover.ai's Vibe Coding piece.
A few points worth lifting from the developer community response to that quote:
Andrew Ng pushed back on the term a few months later, calling AI-assisted coding a "deeply intellectual exercise" rather than casual vibing. Both points stand. You want vibes when you prototype. You want structure when you ship on an existing app that real users depend on.
Rocket is an AI-powered platform that treats your imported Next.js project the way a careful senior engineer would: read first, change second. The multi-agent architecture means no single model does everything at once. One agent plans. Another writes code. A third refactors. A fourth test.
This is how code quality stays high when a team shares one app project.
Here is what the platform brings to a Next.js TypeScript app project:
Key features that matter for an existing app:
Real use cases for continuing a Next.js codebase with Rocket:
Rocket's free tier lets you test this flow before you move to paid plans. So import a small app repo, let the platform parse it, describe the next feature in plain English, and ship it. The decision about paid plans becomes obvious from there. You do not have to write code yourself for the scaffold, just review what the AI writes.
On output quality, Rocket produces production-ready code in standard frameworks. React and Next.js for web apps, Flutter for native mobile apps. No proprietary format. Paid plans let you download the full source and continue building in any IDE. New developers joining the team read familiar code in the stack they already know.
Your question was direct, and so is the answer. Rocket continues an existing Next.js codebase as long as it is a TypeScript app on GitHub.
You get two-way sync, design pattern matching, Supabase schema detection, production-ready output, and up to 80% lower token consumption than a fresh build. The platform treats your working app as the starting state, not a draft to discard. That is the whole point of pointing an ai powered platform at code you already shipped.
Rocket covers web and mobile apps, and it does so without making you rebuild.
So, start building your existing Next.js project with Rocket.
| Netlify, Vercel, or your own cloud provider |
| Git history | Fresh start | Preserved on GitHub |
| Best for | Landing pages, prototypes, new projects | Production-ready apps that need more features |