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You've likely seen this movie before: something breaks in an app you built with an AI coding agent. You ask the agent to fix it. It "fixes" it. But the bug is still there, or a second bug appears.
So you say "it's still not working." The agent tries again. Twenty minutes later you have more broken code, fewer credits, and no clear path back to a working state.
People search for this with phrases like "AI keeps making bugs worse" or "agent stuck in a fix loop." It's not a quirk of one product. Lovable, Replit, Cursor, Claude Code, Base44, and similar tools all fall into the same pattern, because the failure is structural.
This tutorial explains why the loop happens and gives you a concrete sequence you can use to break it on any of those tools.
Here's What We'll Cover:
A Full Walkthrough: The Double Charge
How to recognize an AI fix loop early
Why vague retries make the next attempt worse
A five-step sequence to stop, revert, restate, isolate, and verify
How to write a fix prompt that carries enough information for the agent to succeed
Prerequisites
You don't need to be a professional engineer to follow along here. But you should have:
An app you're building with an AI coding agent (like Cursor, Claude Code, Replit Agent, Lovable, or similar)
Access to version history, checkpoints, or Git so you can undo a bad change
A way to run or preview the app yourself (browser preview, local server, or deployed URL)
What the Fix Loop Looks Like
Strip away the product branding and the loop looks the same everywhere:
Something is wrong in the running app.
So you say "it's still not working." The agent tries again. Twenty minutes later you have more broken code, fewer credits, and no clear path back to a working state.
People search for this with phrases like "AI keeps making bugs worse" or "agent stuck in a fix loop." It's not a quirk of one product. Lovable, Replit, Cursor, Claude Code, Base44, and similar tools all fall into the same pattern, because the failure is structural.
This tutorial explains why the loop happens and gives you a concrete sequence you can use to break it on any of those tools.
Here's What We'll Cover:
A Full Walkthrough: The Double Charge
How to recognize an AI fix loop early
Why vague retries make the next attempt worse
A five-step sequence to stop, revert, restate, isolate, and verify
How to write a fix prompt that carries enough information for the agent to succeed
Prerequisites
You don't need to be a professional engineer to follow along here. But you should have:
An app you're building with an AI coding agent (like Cursor, Claude Code, Replit Agent, Lovable, or similar)
Access to version history, checkpoints, or Git so you can undo a bad change
A way to run or preview the app yourself (browser preview, local server, or deployed URL)
What the Fix Loop Looks Like
Strip away the product branding and the loop looks the same everywhere:
Something is wrong in the running app.
