Technical debt in vibe-coded apps: when to pay it down

Technical debt is the extra work you'll have to do later because of shortcuts taken now. In vibe-coded apps it builds up fast, because each prompt solves the visible problem without cleaning up what came before. You should pay it down when it starts slowing every change, breaking unrelated features or putting user data at risk; until then, some debt is a reasonable price for shipping quickly.

This guide explains what the debt looks like in AI-built apps, how to measure it without being a developer, which kinds to pay first and how to keep it from growing back.

What does technical debt look like in an AI-built app?

The debt isn't usually one big mistake. It's many small ones that add up:

• Duplicated logic. The same price calculation lives in three components, and they disagree when you change one.
• Dead code. Old versions of features the AI replaced but never removed, still imported and sometimes still running.
• Logic in the browser that belongs on the server. Discounts, permissions or limits checked only in the frontend, where anyone can change them.
• One giant file. A single page component with hundreds of lines doing data fetching, state, layout and business rules at once.
• Hardcoded values. API URLs, plan names and email addresses typed directly into the code instead of configuration.
• No tests. Nothing tells you a change broke sign-up until a user does.
• Unmanaged dependencies. Packages added for one experiment and never removed, some of them outdated.

How do you know the debt has become a problem?

Debt is a cost, not a crime. These are the signs that the interest payments have become too high:

1. Every change breaks something unrelated. You fix the dashboard and the invoice page stops loading.
2. The AI tool keeps going in circles. It "fixes" an error, introduces another, then reverts the first fix. Large, tangled code is harder for the model to reason about, too.
3. Simple features take days. Adding a field to a form touches eight files.
4. You're afraid to deploy. Releases happen late at night, with someone ready to roll back.
5. New people can't find their way. A developer needs days just to understand where things are.

If two or more of these are true, the debt is already costing you more than paying it down would.

How can you measure it without reading code?

You don't need to understand the code to collect useful numbers:

• Track how often a change causes a new bug. Keep a simple list for a month: each change, and whether something else broke.
• Count the credits or prompts per feature. If small features take more and more attempts, the codebase is fighting the tool.
• Ask for a dependency and size report. A developer can tell you in minutes how many packages you have, how many are outdated and which files are largest.
• Check the error logs. A steady stream of the same errors in production is debt showing itself.

Which debt should you pay first?

Not all debt is equal. Pay it in this order:

The last row matters. Code that works and nobody touches can stay messy. Refactoring it gives you nothing but risk.

How do you pay it down without stopping new work?

Big "cleanup sprints" tend to stall. These habits work better:

1. Fix the foundation once. Put the project in version control, set up a staging environment and make deployment repeatable. This is a one-off investment.
2. Leave each area better than you found it. When you build a feature, also remove the dead code and duplicates around it. Budget a fraction of each task for this.
3. Add a test before you fix a bug. Write a test that reproduces it, then fix it. The bug can't silently come back.
4. Move rules to the server one at a time. Start with whatever controls money or access.
5. Replace, don't rewrite. If one module is beyond repair, rebuild that module behind the same interface instead of the whole app. Our guide on whether to rewrite or fix an AI-built app covers this decision.

How do you stop the debt coming back?

Most new debt comes from how the tool is used, not from the tool:

• Prompt for small, specific changes, and review what changed before accepting it.
• Write project rules (Cursor rules, a Lovable knowledge file or similar) describing your structure: where business logic lives, which components to reuse, what not to touch.
• Ask the AI to delete code as well as add it. "Remove the old version" is a valid prompt.
• Commit often, with a short message, so you can go back to the last good state.
• Have someone review the code regularly, even briefly. Our guide on reviewing AI-generated code lists what to look for.

Quick answers

Is all technical debt bad? No. Taking on debt to test an idea quickly is a sensible trade. It becomes a problem when you keep paying interest on it long after the idea has proved itself.

Can the AI tool clean up its own debt? Partly. It can remove duplicates and split large files when asked precisely, but it needs someone to decide what the structure should be.

How much time should go into paying it down? There's no universal number. Start with the foundation work, then reserve a regular slice of each task for cleanup in the area you're touching.

Will investors care about technical debt? They care about the risks it creates: security, the ability to scale and how fast the team can ship.

Want help with your app's debt?

Start with the free App Health Check for what's visible from outside. If the debt is already slowing you down, our maintenance and support plans cover ongoing cleanup and fixes, and if a module needs rebuilding, see MVP development. You can also tell us what's going on.