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Rescue

You built it with Lovable, Cursor or Claude, and it works — on your laptop, for you. Before real users, real data and real money touch it, we check what an attacker, a traffic spike or a second developer would find, and fix it.

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What we check

The problems AI tools
reliably miss.

Access control

Can one user read another user's data? Are database rules and API endpoints actually enforced on the server, not just hidden in the UI?

Secrets & keys

API keys in the frontend, credentials in the repository, AI provider keys anyone can copy and run up your bill with.

Authentication

Password resets, sessions, admin routes, and the sign-up flow that lets anyone in.

Data & backups

A data model that will survive growth, migrations that will not lose data, and backups that have actually been restored once.

Deployment & cost

Environments, error monitoring, rate limits, and the hosting or AI usage settings that turn one busy day into a large invoice.

Maintainability

Duplicated logic, dead code, missing tests — whether a second developer, human or AI, can change it without breaking it.

How it works

Review first,
then fix what matters.

I

Access

Read access to the repository, database and hosting. Nothing changes yet.

II

Review

Security, architecture, data and deployment, reviewed by our CTO and a senior engineer.

III

Report

Every finding ranked by risk, with what it means in plain language and what fixing it takes.

IV

Fix sprint

We fix the critical issues — or you do, with the report as your guide. Ongoing support if you want it.

Engineer reviewing code

Building it yourself was the right call.

AI tools let founders and teams get to a working product without waiting for a development budget, and that is a good thing. They are also optimised to make the app work, not to make it safe, and they will cheerfully put a secret key in the browser if that is the fastest path to a green screen.

Most small apps do not need an enterprise security programme. They need someone who has seen production systems fail for twenty years to check the short list of things that actually cause breaches and outages.

For a startup that has outgrown its prototype, see MVP development.

Common questions

What founders usually ask first.

Will you rewrite everything?
Almost never. Most AI-built apps have a sound core and a handful of serious problems. We keep what works, fix what is risky, and tell you plainly where a rewrite of one part would be cheaper than patching it.
Which tools do you work with?
Whatever produced the code — Lovable, Bolt, Replit, v0, Cursor, Claude Code, or a mix. What matters is the code, the database and the hosting it runs on, and we review all three.
Is this a penetration test?
No. A production readiness review is led by our CTO and covers the issues that most often break or expose small apps. If you need a formal penetration test for SOC 2, HIPAA, PCI or an enterprise customer's questionnaire, we will tell you, and the review is good preparation for it.
How long does a review take?
Usually about a week for a typical small app, longer if it has many integrations or handles payments or health data. You get a written report, not just a call.
Can we keep building it ourselves afterwards?
Yes, and we would encourage it. The report explains why each fix matters, so you and your AI tools stop reintroducing the same problems.

About to put real users
on it? Check first.

Ask for a review