AI app repair and diagnosis

AI App Repair For Broken AI Apps

Name: AI Website Repair
Price range: ££

Built an app with AI and now something is failing? We check preview, deployment, authentication, database, form, API, payment and live-user problems so you know what needs fixing before more prompts make the app harder to trust.

Preview to live diagnosis

Find out why the app works in the builder but fails after deployment, login, real data or real users.

Repair before rebuild

Check whether the app can be repaired cleanly before assuming the whole build has to start again.

Preview works but the live app fails, deploys blank or throws build errors

Auth, database writes, forms, checkout, APIs or environment variables stop working

Each AI fix creates another error or makes the codebase harder to follow

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

Common AI App Problems We Diagnose

Many AI app problems only appear when the project leaves preview and has to work with real users, real data, hosting, authentication, forms, payments or APIs.

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 Repair AI-Built Apps

The first step is evidence, not another blind prompt. We check the app, the deployment and the user journey before changing the code.

Diagnose the real failure

Review the live app, errors, codebase, platform setup, logs, environment values and key user journeys.

Separate symptoms from causes

Work out whether the issue sits in code, deployment, auth, database, API, frontend, configuration or structure.

Stabilise the broken area

Repair the failing area without randomly changing unrelated parts of the app that still work.

Check production behaviour

Confirm the app works where it matters, not just inside a builder preview.

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.

What Happens After the Repair?

The goal is not just to remove the visible error. The app needs to work in the real environment, with the key user journey, deployment, auth, data handling and critical features checked properly.

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

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

Not Sure What's Actually Broken?

The visible error is often only the symptom. The real issue may sit in deployment, environment variables, auth callbacks, database rules, routing, API handling or generated code that was never ready for production.

AI app repair is the process of diagnosing and stabilising an AI-built app so it works outside the preview window. That can include generated code, deployment configuration, environment variables, auth callbacks, database rules, routing, frontend state, API handling, package versions and server errors.

If you do not know where the fault starts, begin with proper diagnosis. It is usually safer than asking for another blind prompt, because the next prompt may change files that were already working.

Useful diagnosis details include the app URL, the builder or code tool used, what changed recently, deployment logs, browser console errors, auth provider details, database behaviour and the user journey that fails.

Stuck in an AI Fix Loop?

A common pattern is asking AI to fix one bug, then getting two new ones.

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.

AI App Repair Guides

Use these guides to understand a specific AI app failure before asking for help.

AI App Deployment Repair

Get failed deployments, build errors and live app problems diagnosed properly.

AI App Security Check

Check exposed keys, auth, database access and user data risks before launch.

AI App Payment Repair

Fix broken Stripe checkout, webhooks, subscriptions and paid access flow.

AI App Won't Deploy

What to check before another prompt changes the project.

Preview Works But Live Fails

Why preview behaviour does not always match production.

Blank Page After Deployment

Console, route and runtime checks for blank live screens.

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.