Cursor is writing bugs. And you’re probably shipping them. It feels...

It feels amazing when it generates an entire feature in minutes.
But that code might be hiding serious issues.
Here’s the real problem with AI-generated code today ↓
Cursor doesn’t know:
• Your DB structure
• Your auth setup
• Your business logic
• Your security rules
So it guesses. And those guesses often lead to insecure queries, outdated patterns, and logic errors.
• Cursor writes fast
• You spend hours debugging
• You fix its bugs manually
• You lose the time you saved
It defeats the purpose. But there’s a better way to use it.
Instead, I built a feedback loop where the agent fixes its own mistakes.
This completely changed my workflow.
Here’s how I do it using @cursor_ai and @coderabbitai ↓
1. Use Cursor to build the feature
2. Commit the new code using Git
3. CodeRabbit reviews the PR automatically
4. Feed the suggested fixes back to Cursor
Now cursor improves the code itself based on the feedback.
You’re not spending hours fixing things.
You’re:
• Reviewing the PR
• Using CodeRabbit comments
• Turning those into clean instructions
• Letting Cursor handle the fixes
Cursor fixes its own mess. You just guide it.
• You ship fast
• You stay in control
• You don’t compromise security or quality
You start acting like the architect.
If you’re serious about building real MVPs, you need quality by default.
Structured workflows > blind prompting.
Cursor + CodeRabbit = fast, safe, scalable builds.
It’s how I build production-ready MVPs without burning out.
Try it once and you’ll never go back.
Want a full video breakdown? I’ll record my exact workflow. Just let me know 👇