Published: March 31, 2025
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How I use @lovable_dev + @cursor_ai to build MVPs 10x faster This workflow helps me skip the design phase, automate 70% of the dev work, and stay flexible for rapid changes. If you’re building with AI, you’ll want to see this.

1/ Start in @lovable_dev 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.

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.

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%

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

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.

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.

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.

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

9/ What’s coming next? This video was just a quick walkthrough of my current AI dev workflow. But I’m planning a full series where I’ll go deeper, from: • Planning the MVP in ChatGPT • Building full MVPs in Lovable • Optimizing logic in Cursor • Deploying and marketing the final product If you liked this, bookmark the thread. The full series is coming soon.

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