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Vibe-Coded App Review

We review applications built with AI tools or vibe coded by someone else, and show you in plain language where the security, stability and maintainability risks are.

Vibe-Coded App Review

Does this sound familiar?

If any of these are true for you, we can help.

You built the app with AI (ClaudeCode, Cursor, Lovable, Bolt, ChatGPT) and now want to take it live.

Someone else vibe coded the system for you and you do not know what is under the hood.

It works, but you do not know how secure it is or what happens when many users arrive.

Thousands of lines of code are written with AI every day, but nobody properly reviews what it wrote.

Every new feature breaks more things.

There are tests and a nice coverage number, but you do not know whether the tests would actually catch a bug.

Before an investment, a sale or a change of developer you want a clear view of the code.

With AI tools you can put together a working application in a few days, and thousands of lines of code can be written in a single day. But quantity is not quality: what looks fine on screen often hides leaked API keys, missing access control and fragile code behind the scenes.

The most common problem is not a visible crash but a silent bug: the code runs, returns a roughly right result, and for weeks nobody notices that data is leaking, data is being corrupted, or an operation deletes more than it should.

As experienced developers we review the code, the database and the configuration, and tell you what is fine and what will cause trouble in production.

We do not just hunt for bugs: we show you which automated checks are missing (meaningful tests, static analysis, dependency audits, logging), so the next thousand lines reach production more safely.

The result: you know what to expect and can make an informed decision about fixing or extending it.

What we can take on

Concrete work we do in this area.

  • Code quality and architecture review
  • Security check: keys, permissions, data protection
  • Database and data handling assessment
  • Performance and scalability evaluation
  • Hunting silent bugs: data leaking into logs, faulty data processing, dangerous operations
  • Assessing the real value of the tests, not just the coverage percentage
  • Prioritised fix plan
  • Plain-language written report

What you get

Not just code, but a working system you can keep building on.

01

A written, plain-language report on the state of the code and architecture.

02

A list of security issues (leaked keys, access control, data protection) by severity.

03

An opinion on scalability and maintainability.

04

A prioritised fix plan: what needs doing now and what can wait.

05

A proposal for automated quality gates: pre-commit checks, tests, static analysis and dependency audits in CI, logging and monitoring in production.

06

A recommendation on whether to keep building on it or partly rewrite it.

How we work

Four steps from the first conversation to handover.

1

We understand the problem

We go through the current situation, the business goal and the technical environment.

2

We propose a solution

We define the approach, the development needed and the expected effort.

3

We build

The system is built transparently, with version control and continuous communication.

4

Handover and beyond

You do not need to find a new developer after handover: we also take on maintenance and further development.

What we work with

Technology is not the message, it is the professional background.

Laravel PHP JavaScript TypeScript React VueJS Supabase

Frequently asked questions

What most people ask before we start.

Mostly systems built on Laravel, PHP, JavaScript and TypeScript (React, Next.js, Node.js), as well as apps generated with popular AI tools (Lovable, Bolt, Cursor, v0) running on Supabase or Firebase.
No. AI gets you to a working prototype fast, and that is valuable. The trouble is usually what the AI never asks about: security, data handling, error handling and scaling. That is what we look at.
Because the most dangerous bugs do not crash the system. The code runs, returns a result that looks roughly right, and the bug goes unnoticed for weeks: customer data ending up in the logs via an error message, a delete command scoped too broadly, silently corrupted data, or a query that suddenly takes seconds once there is more data.
Not necessarily. Coverage measures whether code ran during the tests, not whether a test would notice a bug. We check whether the tests protect the critical points (edge cases, permissions, data handling) or only push the percentage up.
On request, yes, but it is not required. The review is a standalone service: you can hand the report and fix plan to any developer.
Access to the code (for example a GitHub repository) and, if there is one, the live or staging environment. We treat code and access confidentially and sign a non-disclosure agreement on request.

Let's talk about your project

Tell us briefly what you are working on and where you need help. We will look at how we can get involved.