How I use @lovable + @cursor_ai to build MVPs 10x faster I’ve used...

49 views Jun 04, 2025 ~2 min read

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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 ↓

                        7:40

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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.

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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.

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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%.

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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

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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.

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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.

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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.

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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

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9/ What’s coming next?

This video was just a quick walkthrough of my current AI dev workflow.

If you want a detailed walkthrough, check out:
@aimvpbuilders

What you get:
• AI MVP Series (live now)
• Vibe Coding System (weekly drops)
• Build Smart Series (weekly drops)

If you liked this, bookmark the thread.

@lovable @cursor_ai I share all these workflows + builds inside a private community I started.

225+ of us are building AI MVPs together.

If you're into this, check it out:
🔗 skool.com/ai-mvp-builders

How I use @lovable + @cursor_ai to build MVPs 10x faster I’ve used...

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