“Try to Fix” error loops

Building with Lovable makes coding faster and more intuitive, but even the best AI-powered development tools can run into issues. Sometimes, your code won’t execute as expected, or you might experience “unexpected behavior” where the AI doesn’t implement what you had in mind. 

Here is a guide to guide you through the stuck experience:

1

The 'Try to Fix' Button: First Line of Defense

When you hit an error, your first move should be the Try to Fix button. This triggers Lovable to analyze logs, detect errors, and attempt a correction automatically. It’s quick and usually effective. However, for complex features, the AI might not always get it right on the first try. If the fix doesn’t work, move on to a more detailed debugging approach.

2

Understanding 'Unexpected Behavior'

Sometimes, your code runs without errors, but your app isn’t functioning the way you expected. This is Unexpected Behavior, and it’s one of the hardest things to debug. The best approach?

  • Retrace your steps – review what you asked Lovable to do.

  • Break it down – check if a particular section of your implementation is misaligned.

  • Use images – show Lovable the UI result versus what you expected.

3

Writing Better Prompts: Start with a Strong Foundation

Many issues can be avoided with a well-structured prompt. Instead of jumping straight into features, follow this best practice format:

  1. Project Overview – Describe what you’re building.

  2. Page Structure – List the key pages and components.

  3. Navigation Logic – Explain how users will move through the app.

  4. Screenshots/Wireframes – Upload visuals if available.

  5. Implementation Order – Specify logical steps, e.g., “Start by creating pages and layout before adding Supabase.”

4

Follow the Right Implementation Order

If you structure your project build logically, it reduces the risk of errors down the line. Stick to this recommended workflow:

  1. Create pages and layout

  2. Integrate Supabase for backend/database functionality

  3. Implement authentication (Auth) and user roles

  4. Plan out and sequence features

  5. Start prompting for feature implementation

5

Using the Chat-Only Mode for Debugging

When you’re unsure about how to structure your prompts or debug an issue, switch to Chat-Only Mode:

  • Ask Lovable to review what you’re trying to do.

  • Request Lovable to list the solutions it has already attempted.

  • Get Lovable to suggest a different approach if you’re stuck in an error loop.

6

Advanced Troubleshooting: What If You’re Still Stuck?

If the Try to Fix button isn’t solving your problem, and you’re not making progress, try these:

  • Be more specific – Describe exactly what’s wrong, including what you expected versus what happened.

  • Use images – Screenshots clarify UI-based issues.

  • Ask Lovable for debugging help – Example: “What solutions have we tried so far? What else can we do?”

  • Revert to a previous working state – If things spiral out of control, go back and implement methodically.

7

Debugging Specific Issues

Tips & Tricks

General Troubleshooting

When using Lovable, you may occasionally encounter technical issues. Below are common problems and recommended actions to troubleshoot and resolve them.

GitHub Troubleshooting

API Troubleshooting

Comprehensive Debugging Manual

This document was created by a Discord community member who has mastered the AI space, ensuring minimal edits are needed.

Instructions

  1. Download the file as Markdown and name it: Comprehensive_Debugging_Manual.md.

  2. Upload it to your project’s GitHub repository.

  3. Prompt Lovable with the following message:“Read this document - Comprehensive_Debugging_Manual.md. Let me know if it helps you. Then, create a prompt that I should use to troubleshoot this issue: {paste the issue}.”

  4. When Lovable provides a prompt or suggested fix, paste it into the chat and append the following:“Before you proceed, explain in great detail: Why do you think this will work? Wait for my approval.”

This ensures a thorough debugging process and deeper understanding before implementing any solution.