A practical framework for building MVPs with Lovable
After building multiple MVPs with Lovable, I realized something important:
Building MVPs is no longer limited by coding skills.
It’s limited by how clearly you define the product.
AI can build almost anything.
But only if you give it the right structure.
Here’s the exact framework I follow:
1. Start with real problems
I don’t start with ideas. I start with problems.
I explore Reddit, Discord, and YouTube comments to see what people are struggling with. This helps ensure I’m building something useful and relevant, not just something interesting to me.
When the problem is clear, everything else becomes easier.
2. Create a clear blueprint using a PRD prompt
Before building, I use Lovable to generate a PRD (Product Requirements Document).
This helps define:
- Pages and routes
- User flow
- Core features
- Product structure
This step is critical. It acts like a roadmap and removes confusion during development.
Without structure, AI produces inconsistent results. With structure, it produces production-ready output.
3. Build the skeleton first
Next, I generate the basic UI structure:
- Layout
- Navigation
- Pages
I don’t worry about features yet.
The goal is to create a clean foundation that can be extended easily.
4. Add features incrementally
I add one feature at a time using focused prompts.
This keeps the system stable and easier to debug. It also helps Lovable produce more accurate results.
Trying to build everything at once usually creates messy output.
Incremental building works much better.
5. Add authentication
Once the core product works, I add authentication using Supabase.
This includes:
- Login and registration
- Password reset
- Email verification
- Protected routes
This makes the product ready for real users.
6. Deploy and iterate
Finally, I deploy the product.
You can deploy directly from Lovable or connect GitHub and deploy via Vercel or Netlify.
Once live, I improve the product based on real usage and feedback.
>Key insight
The bottleneck is no longer coding.
It’s clarity.
AI tools like Lovable can build fast. But they need clear instructions and structure.
Builders who learn to define products clearly will have a huge advantage.
If you’re building MVPs using Lovable or vibe coding, I’d love to hear about your workflow.
What’s working well for you?
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A practical framework for building MVPs with Lovable
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