From v0 to Local: A Practical Workflow for Shipping Real Apps
As a serial v0 user, I feel qualified to say it’s the shit.
Again, I’m biased because Vercel signs my paychecks, but IMO it’s one of the best PLG loops since Canva: Provide a vague idea, see what comes back, iterate a little, deploy, have an “oh **** that worked moment,” drown in a deluge of dopamine, repeat.
Real talk: probably the worst/best thing Vercel has ever done for me is give me a day job and then get me serially addicted to shipping apps with tools like v0.
The real power of v0 isn’t that it generates code. It’s that it collapses the distance between idea → working software. But only if you treat it like part of a real workflow, not the end of one.
You can do everything in v0 and never open another vibecoding app. That said, this is the approach I’ve landed on for most of my AI-assisted dev work.
1. Start in v0 (Prototype, don’t perfect)
v0 is best used like a product sketchpad.
You describe the app you want.
You iterate on layout and structure.
You refine the UX.
You are not trying to ship perfect code here. You’re trying to answer:
“Is this the thing I actually want to build?”
If the answer is no, you just saved yourself days of effort.
2. Publish to Vercel (Make it real, fast)
Once the shape feels right, deploy it.
Not later. Not “after cleanup.” Immediately.
Deploying does a few important things:
- It gives you a real URL
- It forces you to think about usability
- It makes it shareable with teammates
- It shifts your mindset from “experiment” to “product”
This is the moment where most demos start to become software.
3. Connect a GitHub repo (Own the thing)
Next step: connect the project to a repo.
I like to think of this as the line in the sand between:
“AI made this for me”
and
“I am building this.”
Once it’s in GitHub:
- You have version history
- You can collaborate
- You can refactor safely
- You’re no longer locked into whatever v0 scaffolded
Now it’s your project.
4. Pull it down locally (Where real work actually happens)
Finally: download the sourcecode, add it to your repo and run it locally.
This is where:
- You understand the structure
- You delete the parts you don’t like
- You rewrite components properly
- You replace hacks with architecture
- You introduce tests, linting, real patterns
v0 accelerates you to a starting point. Like I said above, you can just use v0 and never need to develop locally. I’ve found that other AI dev tools, especially Claude Code, are better at retaining context over larger codebases and generally faster to iterate with from a local environment.
Why this workflow works
v0 solves the blank page problem.
Vercel solves the deployment friction.
GitHub enforces ownership.
Local dev throws you in the deep end.
Used together, you get speed *and* legitimacy. You move fast without pretending prototypes are production.
That’s one key difference between playing with AI tools and actually shipping with them.