Comparison
Fix or rebuild a vibe-coded app?
Last reviewed , published by Gjethe
In short
Fix a vibe-coded app when its data model is sound and the problems are specific: security gaps, bugs, missing tests or deployment. Refactor when features work but the code is tangled and duplicated. Rebuild only when the core data structure or architecture is unsafe and repairing it would cost more than starting again. An audit of the code should decide, not frustration with the last bug.
When an AI-built app starts misbehaving, starting over can feel like the clean option. Sometimes it is. More often it throws away working features, real user feedback and design decisions that took weeks of prompting to reach. This comparison sets out the three realistic paths, what each costs you in effort and risk, and the signals that point to one or the other.
Fix, refactor or rebuild at a glance
| Fix | Refactor | Rebuild | |
|---|---|---|---|
| What changes | Specific problems only | Structure of the code, same features | Everything below the design |
| What you keep | Nearly all the code | Product, data and most logic | Design, learning and the idea |
| Risk to live users | Low | Moderate, managed with tests | Highest: a migration and a relaunch |
| Relative effort | Smallest | Medium | Largest |
| Best when | Architecture is sound | Code works but resists change | Core data model can't be made safe |
Signs a fix is enough
- The main features work for most users most of the time
- Problems are specific: a security setting, a broken flow, a slow page
- The database tables map clearly to things in your business
- Code is organised into recognisable pages, components and services
- Adding a small feature by prompt still mostly works
Signs a rebuild is worth considering
- Data is stored in a shape that can't be secured, such as everything in one shared table
- Business logic lives entirely in the browser with no server side at all
- The app depends on a platform you can't export from or host elsewhere
- Small changes routinely break unrelated parts of the app
- The app is small enough that rebuilding is quicker than understanding it
Why rebuilding is often the wrong first instinct
A rebuild feels like it removes uncertainty, but it adds a different kind. The new version has to rediscover every edge case the old one already handles, the data has to be migrated, and users have to move across. Software teams have long learned that full rewrites usually take longer than expected, because the old code contains decisions nobody wrote down.
With vibe-coded apps there's an extra trap: rebuilding with the same tools and the same prompting habits tends to reproduce the same problems. The issue is usually missing review, tests and guardrails, not the specific code the AI happened to write.
What a refactor looks like in practice
Refactoring keeps the app running while its insides are reorganised. Tests go around the flows that matter, then duplicated logic is merged, permission checks move to the server, and large generated files are split into parts with clear jobs. Users see the same app throughout, only more reliable.
Done this way, a refactor can happen in stages, with each stage released and checked before the next begins, which keeps risk low for an app already in use.
Which common problems actually need a rebuild?
Most issues found in AI-generated code are fixable in place. Only a few point towards starting again.
| Problem | Usually fixed by | Needs a rebuild? |
|---|---|---|
| API keys visible in the browser | Rotating keys and moving calls to the server | No |
| Supabase tables without Row Level Security | Enabling RLS and writing policies per table | No |
| Admin actions anyone can call | Server-side permission checks | No |
| The same bug returning after every prompt | Tests around the flow, then a fix at the cause | No |
| Huge generated files nobody can follow | Refactoring into smaller components and services | Rarely |
| No back end: all logic and data rules in the browser | Adding a server layer, sometimes a partial rebuild | Sometimes |
| A data model that mixes every customer's records | Redesigning tables and migrating the data | Often, for the data layer |
What drives the cost of each path?
For a fix, the effort follows the number and depth of issues the audit finds. A handful of security settings and broken flows is a contained job; dozens of small problems spread across the code take longer to work through safely.
For a refactor, the size of the codebase and the amount of duplicated logic matter most, along with how many tests need writing before changes can be made with confidence.
For a rebuild, every feature, integration and screen has to be built again, and the existing data must be migrated and checked. That's why a rebuild rarely costs less than people expect, even when the old code is messy. Whichever path you choose, the quote should be based on the audit, not on an estimate made before anyone has read the code.
How do you make the decision?
- 01
Audit the code
A developer reads the code, data model and deployment, and lists every issue by risk.
- 02
Separate urgent from structural
Security gaps are fixed regardless of the final decision. Structural issues decide the path.
- 03
Estimate both paths
Compare the effort of repairing with the effort of rebuilding, including data migration.
- 04
Weigh what you'd lose
Count working features, users and integrations that a rebuild would have to recreate.
- 05
Decide and stage the work
Whatever the choice, plan it in releasable steps rather than one big switch.
Our view
Sources and further reading
Frequently asked questions
Is it cheaper to fix or rebuild a vibe-coded app?
Fixing is usually cheaper because working features are kept. A rebuild can be cheaper for very small apps, or when the data model would need replacing anyway.
Can a vibe-coded app be made production-ready?
Yes, in most cases. Securing data rules and secrets, adding tests, fixing bugs at their cause and deploying with monitoring is usually enough.
Should I rebuild with a different AI tool?
Switching tools rarely solves the problem on its own. The gaps come from missing review and tests, which a new tool won't add by itself.
Will my users notice a refactor?
They shouldn't, apart from fewer errors. Refactoring keeps features and data the same and is released in small, tested steps.
Do I lose my data if the app is rebuilt?
No. Data is migrated from the old database into the new structure, checked, and only then is the old version switched off.
Who should decide whether to fix or rebuild?
A developer who has read the code, together with you. The decision depends on business factors such as users, deadlines and budget as much as on the code.
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