How I use @lovable + @cursor_ai to build MVPs 10x faster I’ve used...
Prajwal Tomar@PrajwalTomar_
78 views
Jul 28, 2025
~2 min read
Advertisement
1
How I use @lovable + @cursor_ai to build MVPs 10x faster
I’ve used this EXACT combo to ship 18+ real products.
Here’s how it works ↓
I’ve used this EXACT combo to ship 18+ real products.
Here’s how it works ↓
7:40
2
1/ Start in Lovable
Every MVP starts inside Lovable.
Why? It lets me build full apps visually with:
• Supabase auth (email, Google, magic links)
• Stripe integration (checkout, subscriptions)
• OpenAI-powered features
• Fully responsive frontend flows
This saves me days of manual coding.
Every MVP starts inside Lovable.
Why? It lets me build full apps visually with:
• Supabase auth (email, Google, magic links)
• Stripe integration (checkout, subscriptions)
• OpenAI-powered features
• Fully responsive frontend flows
This saves me days of manual coding.
3
2/ Build 70–80% inside Lovable
I don’t jump to code immediately.
First I complete:
• All core screens
• Page routing
• Basic backend setup
• External integrations (Stripe, OpenAI)
Lovable handles most of this without a single line of code.
I don’t jump to code immediately.
First I complete:
• All core screens
• Page routing
• Basic backend setup
• External integrations (Stripe, OpenAI)
Lovable handles most of this without a single line of code.
4
3/ Sync to GitHub, move to @cursor_ai
Once the base is solid, I sync the Lovable project to GitHub and open the repo inside Cursor.
This is where I switch from visual → code.
Why? Lovable handles 80% and Cursor helps me fix and optimize the remaining 20%.
Once the base is solid, I sync the Lovable project to GitHub and open the repo inside Cursor.
This is where I switch from visual → code.
Why? Lovable handles 80% and Cursor helps me fix and optimize the remaining 20%.
5
4/ Fix integration bugs inside Cursor
Sometimes Lovable:
• Misconfigures Stripe flows
• Misses edge cases in API calls
• Doesn’t handle all auth scenarios
I use Cursor to:
• Debug and fix Stripe setup
• Secure Supabase calls
• Add error handling and fallback logic
Sometimes Lovable:
• Misconfigures Stripe flows
• Misses edge cases in API calls
• Doesn’t handle all auth scenarios
I use Cursor to:
• Debug and fix Stripe setup
• Secure Supabase calls
• Add error handling and fallback logic
6
5/ Push back to GitHub → Lovable auto-syncs
Once I’m done fixing and refining in Cursor, I push the changes to GitHub.
Lovable automatically syncs the updated code.
Now the updated backend logic lives inside a visual editor again.
I continue working on top of it.
Once I’m done fixing and refining in Cursor, I push the changes to GitHub.
Lovable automatically syncs the updated code.
Now the updated backend logic lives inside a visual editor again.
I continue working on top of it.
7
6/ Final visual polish back in Lovable
Cursor is great for logic, but not UI fine-tuning.
Lovable makes it easy to:
• Resize buttons
• Add logic to components
• Tweak layout
• Adjust styling visually
I wrap the project with final polish here.
Cursor is great for logic, but not UI fine-tuning.
Lovable makes it easy to:
• Resize buttons
• Add logic to components
• Tweak layout
• Adjust styling visually
I wrap the project with final polish here.
8
7/ Why this workflow works
Most devs either:
• Stay stuck in the visual tool too long
or
• Jump to code too early
I use both at the right time:
• Lovable for speed and structure
• Cursor for optimization and control
It’s the perfect feedback loop.
Most devs either:
• Stay stuck in the visual tool too long
or
• Jump to code too early
I use both at the right time:
• Lovable for speed and structure
• Cursor for optimization and control
It’s the perfect feedback loop.
9
8/ Summary: My Lovable + Cursor workflow
• Build base app in Lovable (auth, Stripe, OpenAI)
• Sync to GitHub → open in Cursor
• Fix bugs, secure endpoints, clean logic
• Push to GitHub → auto-syncs back to Lovable
• Final UI polish in visual editor
Speed + flexibility = fast, production-ready MVPs
• Build base app in Lovable (auth, Stripe, OpenAI)
• Sync to GitHub → open in Cursor
• Fix bugs, secure endpoints, clean logic
• Push to GitHub → auto-syncs back to Lovable
• Final UI polish in visual editor
Speed + flexibility = fast, production-ready MVPs
10
PS: This was recorded 3 months ago before I upgraded my setup.
Ignore the mic + cam, just focus on the value :)
Newer vids = MUCH better production quality.
If you liked this, bookmark the thread.
Ignore the mic + cam, just focus on the value :)
Newer vids = MUCH better production quality.
If you liked this, bookmark the thread.
11
I share all these workflows + builds inside a private community I started.
300+ of us are building AI MVPs together.
If you’re into this, check it out:
🔗 skool.com/ai-mvp-builders
300+ of us are building AI MVPs together.
If you’re into this, check it out:
🔗 skool.com/ai-mvp-builders
