“Try to Fix” error loops

Building with Lovable makes coding faster and more intuitive—but even the best AI development tools can occasionally hit a snag. Sometimes your code won’t run as expected, or you might notice unexpected behavior where the AI interprets your intent incorrectly.

Here’s a step-by-step guide to help you navigate issues and get back on track:

1

Use the Try to Fix Button First

Click the Try to Fix button when an error shows up. Lovable will scan your logs, detect the issue, and attempt a quick fix. It’s your fastest first move. If that doesn’t work, it’s time to dig deeper.

2

Diagnose Unexpected Behavior

Your code may run without errors but not behave as intended. That’s unexpected behavior—harder to spot and harder to fix. Try this:

  • Review your original prompt to confirm your instructions.
  • Break it down: Check individual components and logic.
  • Add visuals: Use screenshots to clarify what went wrong.
3

Write More Effective Prompts

Clear, structured prompts lead to better results. Use this format:

  1. Project Overview – What are you building?
  2. Page Structure – List key pages/components.
  3. Navigation Logic – Describe user flow.
  4. Visual Aids – Upload wireframes or screenshots.
  5. Implementation Steps – Lay out the build order.
4

Build in Logical Order

Structure matters. Follow this recommended flow:

  1. Create layout and pages.
  2. Connect Supabase or your backend.
  3. Set up authentication and user roles.
  4. Plan and organize feature logic.
  5. Prompt Lovable to implement features.
5

Use Chat-Only Mode for Clarity

When unsure, switch to Chat-Only Mode:

  • Ask Lovable to analyze your project state.
  • Request a recap of attempted solutions.
  • Prompt for new directions to solve persistent problems.
6

If You're Still Stuck: Advanced Tactics

Still no luck? Try this:

  • Be exact – Describe the bug and your expectations clearly.
  • Use images – Screenshots or videos help illustrate problems.
  • Ask directly – “What else can we try?”
  • Rollback – Restore to a working version and rebuild incrementally.

What’s Going Wrong? Common Troubleshooting Areas

Troubleshooting generally falls into these categories:

  1. UI or Layout Glitches
  2. API or Backend Issues
  3. Prompt Misinterpretations
  4. AI Unresponsiveness or Misbehavior
  5. Platform or Integration Errors

Use the accordions below to identify specific issues and actions:

General issues

AI Reliability

Core functionalities

Domain Issues

Supabase issues

Stripe issues

GitHub issues

In-project issues

Need more help?

Still stuck? Try this:

  1. Use Chat-Only Mode for step-by-step help.
  2. Submit a bug through our Feedback Portal.
  3. If you’re a paid customer, contact Support.

Comprehensive Debugging Manual

This document or this website were written by a Lovable power user in our Discord community.

How to use it

  1. Download it as Comprehensive_Debugging_Manual.md.
  2. Upload it to your GitHub project.
  3. Prompt Lovable: “Read this document. Let me know if it helps. Then create a prompt I should use to troubleshoot this issue.”
  4. After Lovable responds, say: “Before you proceed, explain in detail why you think this will work. Wait for my approval.”

This ensures deeper understanding before implementing any fix.