The Short Answer
If you like how fast Lovable gets you from a prompt to a working React app, but you want to spend more of your time in the code itself — an editor, a terminal, branches, pull requests, and an agent whose every step you can see — CloudCode is built for that. CloudCode is a browser-based AI app builder and cloud IDE where the Claude Code Agent writes and fixes your code next to a live preview. It pairs that agent with a real code editor, a git-aware terminal, GitHub push, pull and pull requests, a bring-your-own Supabase workflow, and one-click Vercel deploys, so you own a standard React codebase from the first prompt.
This post is for developers weighing the two. We'll be fair about where Lovable is the better choice, specific about what "owning your code" means in practice, and concrete about how to move a project across. For the feature-by-feature table, see CloudCode vs Lovable.
What Lovable Gets Right
Lovable deserves its popularity. It makes the first hour of a project feel effortless: describe an app, and you get a good-looking React UI with sensible defaults. It has a Supabase-backed backend option and GitHub sync, and a chat-first interface that non-developers can use without ever opening a file.
If you're a founder validating an idea, a designer making a clickable prototype, or anyone who never wants to see a terminal, that chat-first model is a feature, not a limitation. You should probably stay with Lovable.
Where Developers Hit Friction
The friction shows up when the project stops being a prototype. A few patterns come up again and again:
- Small changes cost a prompt. Renaming a prop or fixing an off-by-one is faster to type than to describe. In a chat-first tool, you describe it anyway.
- The files feel far away. Grepping across the project, moving files around, or committing from a shell needs a workaround.
- Debugging is indirect. You can see that something is broken, but reading the console and network traffic of the running app takes more steps than it should.
- The git workflow lives elsewhere. Sync to GitHub works, but branching, reviewing diffs, and merging pull requests usually happen in another tool.
None of these are bugs. They're the natural trade-offs of a tool optimised for people who don't want to touch code. If you do want to touch code, you want a different set of trade-offs.
What "Owning Your Code" Actually Means
Every AI builder says you own your code. That's usually true in the legal sense. The practical question is whether you can work with that code like any other project — today, inside the tool, and tomorrow, outside of it. Here's how that breaks down in CloudCode.
The project is plain files. A CloudCode project is a set of ordinary source files: React, TypeScript, CSS, a 'package.json'. There's no proprietary runtime or project format you need to unwind later.
You can leave at any time. Download the whole project as a ZIP from the file explorer, or push it to a GitHub repository you own. When you push, CloudCode adds a '.gitignore' that excludes '.env' files and a '.env.example' that lists your environment variable names without secret values, so the repo is safe to share and easy to set up somewhere else.
Git is a first-class workflow. From the GitHub panel you can push and pull, list and create branches, open pull requests, view diffs, and merge. CloudCode also surfaces GitHub Actions runs and their job logs, and the check runs on your latest pull request, so you can see whether CI passed without switching tabs.
You can edit by hand. There's a full code editor with a file explorer next to the agent chat. When a change is faster to make yourself, make it. CloudCode keeps a version history per file, so you can restore an earlier version of any file.
There's a terminal. The integrated terminal is a lightweight shell over your project files: 'ls', 'cat', 'grep', pipes and redirects, plus 'git status', 'commit', 'push' and 'pull' against your linked GitHub repo. It isn't a container, so builds and tests run on your machine or in CI after you push.
An Agent You Can Watch Work
The CloudCode agent is built around tools rather than just text generation. A few of those tools change the day-to-day experience for developers:
- It can read, search, and edit many files in a single turn, including all-or-nothing batch edits.
- It can read console errors from the preview, so runtime failures become something it can act on.
- It has quick static checks for missing imports and for environment variables your code references but you haven't defined.
- It can lay out a numbered plan before it starts a larger change, which makes it easy to redirect early.
- It blocks writing new files that contain what look like hard-coded secrets, such as API keys and tokens.
- It stores project memory, so conventions you've established don't need to be re-explained every session.
The agent shows each tool step as it works, and every file it changes keeps a version history you can restore. It can't run commands, so it won't claim a build or test passed — that's what your CI is for.
Debugging You Can See
The preview pane runs your app in the browser and recompiles moments after each change. Alongside it there's a Console drawer for logs and errors from the preview, an element inspector, and a viewport switcher for desktop, tablet, and mobile sizes. When you deploy, a Live mode loads the deployed URL in an embedded frame with its own console and fetch capture, so you can debug the deployed site without leaving the IDE.
Backend and Deploys
Lovable users are often already on Supabase, and that carries over: CloudCode doesn't host a backend for you, so you bring your own Supabase project and keep full control of it. CloudCode apps use the standard Supabase JavaScript client, with your public Supabase URL and anon key in a small config module. The agent can generate SQL migration files into 'supabase/migrations' for you to review and apply. We walk through the whole setup in How to add a Supabase backend to an AI-generated React app.
Deploys go to Vercel. Pick an environment, click Deploy, and CloudCode sends your files to Vercel, waits until the deployment is ready, and gives you the URL. Staging deploys go to a separate Vercel project from production, and every deploy is recorded in a history.
Migrating a Lovable Project to CloudCode
Because Lovable projects are standard React + Vite + TypeScript codebases, the move is mostly mechanical:
- In Lovable, connect your project to GitHub with its GitHub sync.
- In CloudCode, click New Project. Paste the repository URL into the import field to bring the code in directly — this works for public repositories, up to 200 text files. For a private repository, connect GitHub in CloudCode and use Clone into project from the Repos tab instead.
- Open the preview. Dependencies are read from 'package.json' and fetched automatically.
- Ask the agent: "Review this codebase, check for missing imports, fix any errors you find in the preview console, and tell me which environment variables it expects."
- Put the public values it lists — typically your Supabase URL and anon key — in a config module, and keep real secrets server-side.
- Check the app in the preview, push to GitHub, and deploy to Vercel.
Most of the time spent on a migration is step 4, and it's the agent's time rather than yours.
Which Should You Choose?
Choose Lovable if you want the most chat-centric experience available, you rarely need to see code, and its built-in backend covers what you need.
Choose CloudCode if you want to prompt and code in the same place; you want a terminal, an inspector, and per-file history; your team works in branches and pull requests; or you want an agent that reads your preview's console errors and shows every step it takes. If you're unsure, try both on the same small feature and see which loop feels faster.
Try It on a Real Project
The best way to evaluate any AI builder is to bring a project you already know. Sign up for CloudCode — new accounts get free credits and no card is required — import a repo, and ask the agent to fix the most annoying bug in your backlog. You can also start fresh from one of the app templates, or read the best Lovable alternative for developers for a quick summary of the differences.