Fix AI generated code before your business depends on it

Fix AI generated code when the demo stops being enough

You proved the idea with an invoicing tool, customer portal or dashboard. Now bugs return, totals disagree or you hesitate to add real customer records. Pause new features and check what the business would be depending on.

• The business cannot rely on it yet

  Invoices or stock behave differently across screens. Review the underlying rules and records before adding reports or integrations.

• Each fix breaks something else

  Repeated prompts produced overlapping solutions. Trace the failing workflow and shared dependencies before adding another exception.

• The prototype needs a responsible handover

  Find out what is deployed, what remains risky and how to recover. A preview alone cannot answer those questions.

In 100 recent Upwork job posts we reviewed in October 2026, 9 asked to rescue, finish or review an existing app, and 24 mentioned AI coding tools or AI app builders. Buyers described recurring bugs in owner-built invoicing and inventory tools, websites and chatbots, plus an AI-assisted plugin needing a maintainable rebuild. These are buyer requests, not results from projects we delivered.

Fix AI generated code behind the visible screens

These review priorities can hide behind a polished interface. We check your code, database and deployed settings before recommending changes.

• Secrets in the frontend

  Private API keys and database administrator credentials must stay on the server. Public browser keys have a different purpose; if a private key leaked, remove it and replace the credential too.

• Missing row level security

  A login screen does not prove customers are separated. In Supabase, review database permissions and row level security policies, then test that one customer cannot read or change another customer's records.

• Floating point money math

  Ordinary decimal calculations can leave rounding differences. Use currency-aware amounts and agreed rounding rules throughout invoices, payments and reports, including refunds and partial payments.

• No protection against repeats

  A repeated click or retry can create another invoice, charge or stock movement. Give each intended action a stable reference and enforce duplicate protection where records are written.

• Duplicated business logic

  Separate screens may calculate the same discount differently. Find the authoritative rule, consolidate it and keep a test that catches future disagreement.

• No useful tests

  A successful demo covers one route. Protect login, permissions, payments and important updates with tests that also exercise failure and retry behavior.

• No staging environment

  Changes go straight to customers when there is no separate test environment. Use isolated credentials and suitable test data so reviewing a fix cannot charge a real customer.

• No recoverable backup

  Confirm what is backed up and practice restoring it. Code history alone does not recover deleted customer records, uploaded files or missing account settings.

Supabase's row level security guide explains database access policies. We also use the OWASP Top 10 as a security review reference; a checklist does not replace testing your app's actual permissions.

Vibe coding cleanup starts with reproducible bugs

Tell us what you did, what you expected and what happened. Include a timestamp and affected record if possible. We reproduce the issue safely before changing behavior.

AI code review service: inspect behavior, not appearances

The review should connect a symptom to evidence: the relevant request, stored record and code path. For a slow voice companion, measure transcription, model response and speech separately; for wrong-language replies, check how language is selected and retained. Changing the model or rewriting the interface without that evidence can leave the original failure intact.

Test money, permissions and retries first

Begin with failures that could expose records, lose work or move money incorrectly. A paid invoice that still shows a 1-cent balance needs an explanation across line items, tax, discounts and payment records. Hiding the remaining balance on screen would leave the accounting problem unresolved.

A field worker taps Complete twice after losing signal

The app should retain the intended action while offline and reuse its reference when reconnecting. The server must recognize a repeat even if requests arrive together; disabling a button alone is insufficient. Test reconnection, interrupted uploads and conflicting edits against an agreed rule for which change wins.

For payments, Stripe's idempotency documentation explains reusing a key to retry a request safely. Incoming payment notifications need their own duplicate handling and signature verification; Stripe's webhook guidance covers those concerns. Our API integration services address the wider flow between your app and outside systems.

In 100 recent Upwork job posts we reviewed in October 2026, 5 asked how the developer reviews AI-generated code before deployment. We use AI coding tools too, and review every line of each change before deploying it. Tests, dependency checks and inspection of permissions support that review; another AI answer is not enough.

Rescue or rebuild: preserve the useful work

A rescue is sensible when the core data model and workflows can support the business with targeted changes. A rebuild can be cheaper when broken assumptions affect nearly every feature. We compare repair, testing, migration and ongoing maintenance before recommending either route.

A rebuild needs a migration plan for records, integrations and users, plus checks before switching traffic. Preserve usable components where appropriate. For a first commercial product, see SaaS MVP development.

A controlled route from review to release

Stop adding features to the unstable workflow while it is being repaired. Keep changes small enough to review, and separate urgent containment from improvements that can wait. You should understand what each release changes and how its result will be checked.

1. Step 1

   Capture the current state

   Confirm access and ownership, preserve the deployed version and back up relevant records and files. Identify any exposed credentials or immediately risky actions that need containment.

2. Step 2

   Review and agree the repair scope

   Trace critical workflows, reproduce failures and document what must remain working. Agree the findings, acceptance checks and fixed written quote for the next phase before that work starts.

3. Step 3

   Protect the critical paths

   Create a separate test environment and meaningful tests around the agreed risks. Include customer separation, money calculations and repeated actions wherever those apply.

4. Step 4

   Repair in small reviewed changes

   Keep working features, remove duplicated rules and check each change against its acceptance criteria. We review every changed line, including AI-generated code, before deployment.

5. Step 5

   Release and verify

   Confirm backup and rollback options, deploy the agreed change and check the live workflow. Database changes need their own recovery plan because reverting code does not undo changed records.

6. Step 6

   Hand over control

   Deliver the code, documentation, known limitations and operating instructions. Agree who watches alerts, handles updates and checks backups after the rescue.

Software we build and maintain ourselves

HolaWP is our own SaaS for WordPress setup, staging, migration and troubleshooting, with server-side caching and AI-assisted diagnosis. A user submits a request in the dashboard; an automation engine executes it and generates a verification report. That separation between request, execution and verification is useful when reviewing your app too.

holawp.com

We built and maintain WLTR.AI, a conversational product for understanding business performance. Users ask about revenue, subscriptions and marketing activity in a chat. Our product build uses Next.js, React, TypeScript, Supabase, Stripe and OpenAI.

wltr.ai

Budget for the repair and the app's running costs

The repair scope depends on access, reproducible failures, data condition and the workflows that need protection. Every project gets a fixed written quote before work begins; any separately scoped review is agreed first too. Payment is by card through Stripe after scope is agreed.

• Repair and verification

  Separate necessary fixes from optional features. Include the relevant tests, release work and documentation when comparing proposals.

• Recurring services

  List hosting, database, storage, email and builder subscriptions. Check which remain necessary after the repair and review the providers' current pricing pages.

• AI usage and ongoing care

  Track model calls, retries and failed jobs where the app uses AI. Set usage limits and alerts, and name who handles dependencies, backups and incidents.

Remove repeated background work and unnecessary AI calls before buying more capacity. Keep exact calculations and fixed business decisions in ordinary rules where possible. Our AI automation cost guide explains the cost layers to consider without treating a prototype's current bill as a long-term forecast.

Take over a software project with a clear brief

Send the app link and business problem; you do not need to diagnose the code. Whether you need a Lovable app developer or Replit app developer, confirm access to the project and data so we can establish the review scope.

Fer Marketing is operated by Fer LLC in Wyoming, founded by Fernando Marcano, an IT engineer with 20+ years of hands-on IT experience. We serve the US market in English and Spanish. Contact us by form, WhatsApp or phone for a same-business-day reply, 9 AM to 9 PM ET.