Vibe Coding Cleanup Services: What You Get and How to Choose

Vibe coding cleanup services take an app that was built mostly by AI tools, like Lovable, Bolt, Replit, Cursor or v0, and make it safe to put real users and real money on. That usually means a security review, fixing the bugs the AI keeps reintroducing, restructuring the worst parts of the code, adding tests, and setting up a reliable deployment. The goal is not to throw away your prototype; it’s to keep what works and fix what will break.

What vibe coding cleanup services include

Area	What gets done
Security	Database access rules (e.g., Supabase Row Level Security), exposed API keys, auth flows, admin routes, file uploads
Stability	Fixing crashes, race conditions, broken error handling, duplicated logic
Code structure	Removing dead code, consolidating duplicated components, typing, clear module boundaries
Data	Schema review, migrations under version control, backups and a tested restore
Deployment	CI/CD, environment variables, staging vs. production, rollback
Tests	Tests around payments, auth and the critical user flows
Handover	Documentation so your team (or the AI tool) can keep building safely

Security is usually first. In May 2025, CVE-2025-48757 documented that 170 of 1,645 apps showcased by Lovable let anyone read or write database tables using the public “anon” key, because Row Level Security wasn’t configured correctly. AI tools generate working screens fast; they often don’t get access control right.

How a cleanup engagement works

1. Access in your accounts. You invite the engineer to your GitHub/GitLab, hosting and database, with individual accounts. No credential sharing over chat.
2. Audit. A written report: what’s broken, what’s risky, what’s fine, ranked by severity. See AI code auditor.
3. Stop the bleeding. Fix critical security issues (open tables, leaked keys) before anything else.
4. Stabilize. Fix the bugs that affect users and add tests around critical flows.
5. Refactor where it pays off. Only the parts you’ll keep changing.
6. Deployment and monitoring. Repeatable deploys, error tracking, backups.
7. Handover. Documentation and a short call on how to keep using AI tools without undoing the fixes.

Rebuild vs. cleanup

Cleanup is usually right when…	A rebuild may be justified when…
The app works for most users	Nothing works reliably and there are no real users yet
The data model is roughly correct	The data model is fundamentally wrong for the business
The stack is mainstream (React, Supabase, Postgres, Node)	The stack can’t be deployed or hosted reliably
You need to keep shipping features	You can pause features for a while

Be wary of anyone who recommends a rebuild before reading your code.

Choosing a vibe coding cleanup company or expert

Ask:

• Who does the work? You want a senior engineer who has run production systems, not just someone who uses the same AI tools you do.
• Will you give me a written audit first? It should be useful even if you don’t hire them for the fixes.
• Do you work in my repository and accounts? You should own everything.
• How do you handle AI tools going forward? A good cleanup leaves you able to keep using Lovable or Cursor safely.
• What do you test? Payments, auth and data access at minimum.

Red flags

• A fixed quote for “rebuilding everything” before seeing the code.
• Requests to move your code to their repository or hosting.
• No mention of database access rules or secrets.
• Promises of a timeline before an audit.

What to prepare before you reach out

You’ll get a faster, more accurate estimate if you have this ready:

1. Repository access: the GitHub or GitLab repo the AI tool syncs to. If the code only lives inside the builder, export or connect it first.
2. A list of services: hosting, database, auth, payments, email, analytics, and any third-party API the app calls.
3. Rough usage numbers: active users, records in the main tables, monthly payment volume. This tells the engineer what’s at stake.
4. Known problems: the three bugs users complain about most and any feature the AI couldn’t finish.
5. Your plan for the next six months: new features, a launch, a funding round. It decides which parts are worth refactoring.

What you should have when it’s done

A cleanup is finished when you can verify it, not when someone says so. Expect:

• A written audit with each finding marked fixed, accepted or deferred.
• Secrets out of the frontend and rotated, with a list of where each one lives.
• Database access rules tested with at least two non-admin accounts.
• A deploy you can repeat (and roll back) without the original engineer.
• Backups with one restore actually tested.
• Short docs: how to run the app locally and which files not to let the AI regenerate.

If you’d rather bring someone onto your team than hire a firm, see vibe coding cleanup specialist.

Common mistakes founders make

• Asking the AI to “fix security.” It may report success without changing the real access rules.
• Rotating keys but leaving them in the frontend. A secret in browser code is public.
• Skipping backups. Cleanup touches data; make sure you can restore.
• Cleaning up and then regenerating whole files with the AI tool, undoing the fixes.

More on the specifics in how to fix AI-generated code and my AI app is not working.

When to get help

If your app has real users, takes payments or stores personal data, get a review before you scale. Black Engine Technologies is a software engineering studio in Monterrey, Mexico (UTC-6) with 12+ years shipping production software, including licensed fintech payment systems, and we work daily with AI coding agents, so we know where they cut corners. Send us a WhatsApp message and we’ll look at your app.