A maintenance decision should begin with the current working state, not a broad rewrite. We identify what users rely on, what changed, what differs between preview and production, and what can be verified before another generated change is accepted. Where the wider app is currently broken, AI app repair helps separate the active fault from the work needed to keep the app stable afterwards.
AI app maintenance and stabilisation
AI App Maintenance For Vibe-Coded Apps After Launch
Your AI-built app is live, has users or real data, and now needs safe fixes or changes. We investigate recurring faults, fragile generated code, authentication, data, integrations, payments and production behaviour before further edits put working functionality at risk.
Stabilise the working app
Understand the live build, protect important behaviour and identify the failure points before adding another prompt or patch.
Make future changes safely
Separate an immediate fault from the wider maintenance work needed to keep a launched app practical to change.
A live app is becoming fragile: one change fixes one screen but breaks another journey
Login, data, integrations, payments, deployments or environment settings fail only in production
Generated changes have left duplicate logic, unclear ownership or behaviour nobody can explain
Get My Website Checked
Send the URL and what’s wrong. We’ll review the issue and let you know the sensible next step.
No obligation. If it needs proper investigation, we’ll explain the paid diagnostic option before doing that work.
98%
AI sites repaired
24h
Average repair time
5k+
Code errors fixed
100%
Human reviewed
Post-Launch AI App Problems We Check
A launched Lovable, Replit, Bolt, Base44 or generated React app can need focused repair without needing a wholesale rebuild.
Preview works, live fails
The app appears fine in the builder but breaks after deployment or for real visitors.
Deployment failed
Build commands, package versions, hosting settings or deployment logs point to the production failure.
Blank screen after deploy
Frontend errors, missing routes, bad environment values or broken bundles leave users with a blank screen.
Auth or login broken
Callbacks, redirects, permissions, sessions or provider settings stop users signing in properly.
Database not saving data
Reads, writes, row-level security, table names or connection settings fail outside the preview flow.
Environment variables wrong
Secrets, API URLs and deployment values are missing, mismatched or only set for the local preview.
APIs fail live
External services, CORS, tokens, webhooks or server-side requests behave differently in production.
Forms or checkout not working
The app looks usable, but enquiries, payments, notifications or important user actions do not complete.
Mobile layout broken
Generated UI works on one screen size but becomes cramped, clipped or unusable on phones.
Generated code is fragile
Repeated AI edits leave duplicated logic, brittle components or confusing file changes.
AI fix loop keeps growing
Each prompt fixes one visible symptom while creating another fault somewhere else.
How We Approach AI App Maintenance
First establish what is live and what must be protected. Then isolate the immediate problem, assess stability and make the smallest safe change.
01
Diagnose the real failure
Review the live app, errors, codebase, platform setup, logs, environment values and key user journeys.
02
Separate symptoms from causes
Work out whether the issue sits in code, deployment, auth, database, API, frontend, configuration or structure.
03
Stabilise the broken area
Repair the failing area without randomly changing unrelated parts of the app that still work.
04
Check production behaviour
Confirm the app works where it matters, not just inside a builder preview.
05
Decide repair, restructure or rebuild
If the app can be repaired cleanly, repair it. If the foundations are too fragile, make that clear before more time is wasted.
Immediate Repair, Stabilisation Or Ongoing Changes?
Immediate repair addresses a current failure. Stabilisation deals with a working but fragile build. Ongoing change work is planned around existing users, data and behaviour.
Cleaner production setup
Deployment settings, runtime values and live behaviour are easier to understand and trust.
Stable app behaviour
The main user journey is checked beyond the builder preview.
Correct auth, API and database flow
Login, data, integrations and critical actions are reviewed together instead of treated as separate guesses.
Reduced AI-generated fragility
Unclear generated code and risky patchwork are stabilised where practical.
Clear repair decision
You know whether the app should be repaired, restructured or rebuilt.
APP
A visible app error is often only the surface symptom. Real repair starts by checking the live environment, code, data flow and user journey together.
Repair principle
AI app diagnosis
What We Check Before Further Changes
The check covers the live user journey, authentication and data paths, integrations, payments, deployment configuration, environment variables, dependencies, generated-code duplication and the tests or evidence available.
Keep a Live AI-Built App Safe to Change
Maintenance is not generic IT support. It is careful work on the specific code, data, platforms and integrations that make a launched AI-built app behave as it does.
This often happens because the AI is guessing from partial context, missing files, missing logs, outdated assumptions or an incomplete understanding of the live environment. The same bug keeps returning, working features break after each prompt, or the app runs locally but not live.
When errors move around instead of being resolved, the generated code may need a focused AI code repair pass as part of the wider app diagnosis. The code matters, but so do deployment, auth, database rules, APIs and production behaviour.
If you need somebody new to take responsibility because the original developer or agency is no longer involved, see AI website takeover and ongoing support.
AI App Maintenance Guides
Practical guides for keeping live AI-built apps stable as users, data, integrations and further changes are introduced.
Who Maintains A Vibe-Coded App After Launch?
A guide to when a live AI-built app can still be changed through the builder and when technical ownership or investigation is needed.
Why AI-Built Apps Break Weeks Or Months After Launch
Why production problems can appear later as real users, data, integrations and accumulated changes expose weaknesses.
AI App Maintenance Checklist
Practical checks for users, data, payments, integrations, access and production behaviour after launch.
How To Update An AI-Built App Without Breaking Production
How to make controlled changes to a live AI-built app without destabilising working functionality.
AI App Technical Debt: Signs Your Vibe-Coded App Needs Stabilising
Signs of recurring faults and fragile code that should be stabilised before more features are added.
Lovable App Maintenance After Launch
Lovable-specific post-launch checks for users, data, authentication, integrations and further generated changes.
AI App Platforms and Tools We Can Help With
Different AI tools fail in different ways. These platform pages cover common app and code repair routes without turning this page into a link dump.
Lovable App Repair
Fix Lovable apps with broken auth, Supabase, deployment or live behaviour.
Bolt.new App Repair
Repair Bolt.new preview, deployment, auth, Supabase and production issues.
Replit AI App Repair
Fix Replit apps with deployment, secrets, database, auth or runtime failures.
v0 App Repair
Repair v0 generated pages, React components, Vercel publishing and blank screens.
Cursor AI Code Repair
Stabilise Cursor-generated code, React apps, TypeScript errors and fix loops.
Claude Code Repair
Fix Claude Code projects that do not run, keep breaking or need restructuring.
Hostinger AI and Horizons Repair
Diagnose Hostinger AI sites, Horizons apps, forms, stores and live behaviour.
ChatGPT Website Repair
Repair ChatGPT-built code or websites with broken HTML, CSS, JavaScript or forms.
Base44 App Repair
Diagnose Base44 publishing, data, login, permissions and launch-readiness problems.
Vibe Coding Repair
Repair prompt-built apps across AI builders, generated code, deployment and business workflows.
AI app repair FAQs
AI App Repair FAQs
Clear answers before you ask for help with a broken AI-built app.
Can you fix an app built with AI?
Yes, if the issue can be diagnosed and repaired cleanly. Some apps need restructuring, and some are better rebuilt if the foundations are too fragile.
What if my app works in preview but not live?
That usually means the production environment is exposing a problem the preview did not. Common causes include deployment settings, environment variables, auth redirects, API URLs, database permissions and build errors.
Can you help if I do not know what platform caused the problem?
Yes. Diagnosis can start with the live behaviour, codebase, hosting or deployment setup, logs and user journey. You do not need to know the exact cause before asking for help.
Is this different from AI code repair?
Yes. AI code repair focuses on broken generated code. AI app repair looks at the wider app, including deployment, databases, auth, APIs, configuration, security and real-world behaviour.
Should I keep asking AI to fix the issue?
If the same issue keeps returning or each fix creates another problem, stop. The app needs diagnosis from the actual code, logs and environment, not more blind prompts.
Can every AI-built app be repaired?
No. Some AI-built apps can be repaired, some need restructuring and some are cheaper and safer to rebuild. The point of diagnosis is to make that decision properly.
Built an AI App That Does Not Work Properly?
Get it checked before more guessing makes the problem harder to fix.
No obligation. If it needs proper investigation, we’ll explain the paid diagnostic option before doing that work.