Скачать или смотреть The Hidden Reason Vibe Coding Always Fails - Your Database Schema

Most vibe coding tools are amazing at UI.
They’re terrible at databases.

If you’ve ever used tools like Lovable, Base64, Cursor, Bolt, Replit, or any AI app builder, you’ve probably felt this pain:

👉 You generate a beautiful frontend
👉 You start wiring features
👉 And suddenly… your backend doesn’t make sense
👉 Tables don’t support real user flows
👉 You hit schema changes, rewrites, hacks, and bugs

That’s because vibe-coding tools don’t reason in terms of data schema—and these apps have no incentive to change, since keeping you buying tokens is the business model.

In this video, we show you the actual hack ‪@TalkingSchema‬ 👇

Step 1: Start with the schema (in seconds)

Ask TalkingSchema to design a complete database schema for your app — from scratch, using plain English.

Step 2: Generate real user stories

Then ask TalkingSchema to generate user stories your app needs to support.

Step 3: Validate before you build

TalkingSchema checks whether those user stories are actually supported by the database schema you created — and fixes gaps before you write frontend code.

Step 4: Export & vibe code freely

Export the schema as DBML or other formats, generate frontend UX (user experience) flows, and paste the entire bundle into Lovable or any vibe coding tool, along with your frontend (UI) requirements.

Now when the UI is generated:
• The backend already makes sense
• User flows actually work
• No schema rewrites later
• No broken logic

This flips vibe coding on its head:
Schema first → UX second → UI last

If you’re vibe coding apps but keep getting stuck on databases, schemas, or backend logic, this video shows the missing piece.

Build faster.
Build cleaner.
Build apps that actually work, without paying an endless token tax..

#TalkingSchema.ai #VibeCoding #AICoding #DatabaseDesign #SchemaDesign #Lovable #CursorAI #Base64 #NoCode #LowCode #BackendEngineering #StartupTools #TalkingSchema