Vibe-Code Rescue
You shipped it fast. Now make it survive real users.
- Timeline
- Audit in days, rescue in weeks
- Engagement
- Fixed-fee audit, then fixed-scope rescue against a signed SOW
- Built for
- A working AI-built product about to touch real users, real money or real data
The problem
Lovable, Bolt, Cursor, Replit, Claude Code — it demos beautifully. Then user A reads user B's data. The model never read the code. We do.
Given a choice between a secure and an insecure way to write something, current models picked the insecure one 45% of the time — across 80 tasks and more than 100 models.
Who this is for
- A working AI-built product about to touch real users, real money or real data
- Teams who need an evidence-based keep, harden or rebuild decision
- Founders without an in-house engineer to make that call
Who this is not for
- Greenfield builds — that is AI Product Development
- Products with no users and no launch date
How it runs
- 01
Audit
We read the whole codebase, map the architecture as built, and scan for security and reliability gaps.
- 02
Triage
Every finding ranked by severity and by what it would actually cost you if it fired.
- 03
Decision
An explicit keep, harden or rebuild recommendation with the evidence attached. This is the centrepiece.
- 04
Harden
Access control, secrets, environments, payment and subscription state, and the unhappy paths nobody wrote.
- 05
Test, ship, hand over
A regression suite, CI, observability and rollbacks — then runbooks and a walkthrough. You own it at the end.
What you get
- Authorization enforced on every endpoint
- Secrets out of the repository, environments separated
- Payment, webhook and subscription state made correct
- Input validation and unhappy paths covered
- Error handling that fails closed
- Observability, rollbacks and a regression suite
Vibe-Code Rescue: questions we get asked
Is my Lovable, Bolt, Cursor or Replit app safe to launch?
Not without a review. Veracode's 2025 testing found that when models had a choice between a secure and an insecure implementation, they chose the insecure one 45% of the time. The failures cluster in access control, exposed secrets and payment state — the three that cost you most.
Should I harden what I have or rebuild it?
That is exactly what the audit answers, with evidence rather than instinct. Most AI-built products are worth hardening; the ones worth rebuilding usually have a data model that cannot support what the product now needs.
How much does it cost to make an AI-built app production-ready?
The audit is a fixed fee agreed before any work starts, and the rescue is quoted as fixed scope against a signed statement of work. There is no open-ended hourly meter.
How long does a rescue take?
The audit takes days. The rescue itself takes weeks, depending on how much has to be hardened — the audit tells you which before you commit to it.
Delivered in your region.
- GDPR
- UAE PDPL
- ISO 27001 practices
- Data residency in the EU, the UAE, or your own cloud account
APPINE L.L.C-FZ, Dubai
$ appine assess --fixed-fee
Two weeks. Fixed fee. You end with a decision, not a deck.
A system and codebase audit, a risk register ranked by severity, an engineering baseline, and an explicit recommendation — keep, harden, rebuild, or don't do it at all.
If the answer is “don't hire us,” we'll write that down too.