Did AI help build your app? I help you find out whether it is safe to rely on.
AI tools, low-code platforms, and vibecoding can help teams build software faster.
That speed is useful.
But a working app is not automatically a safe, maintainable, or production-ready system.
If your company used AI to build an internal tool, MVP, prototype, SaaS product, mobile app, or web app, this audit helps you understand what you actually have before you depend on it too much.
Why This Matters
An AI-built app can look finished while still hiding problems that only appear later.
Common examples:
- the app works in a demo, but breaks when real users start using it,
- developers struggle to understand or extend the code,
- API keys, credentials, or sensitive data are handled carelessly,
- authentication and permissions are incomplete,
- the database or integrations are fragile,
- the app depends on unnecessary or risky third-party packages,
- error handling and logging are missing or weak,
- fixing the app later becomes more expensive than checking it early.
A working demo is not the same as a system you can safely extend, operate, or hand over to another developer.
The audit exists to reduce that risk.
What I Review
I review your codebase as a senior software engineer and systems architect.
Depending on the scope and available access, I look at the following areas.
Structure of the App
Is the code organized in a way that another developer can understand and extend, or is it tightly coupled and fragile?
Maintainability
Can a human developer debug, update, and improve the app without fighting the structure?
Basic Security Risks
Are there obvious risks with exposed secrets, weak access checks, unsafe data flows, or risky defaults?
This is not a formal penetration test or security certification. It is a practical engineering review that can reveal visible risks before they become expensive.
Dependencies and Build Setup
Are the libraries, frameworks, build scripts, and environment assumptions reasonable and maintainable?
Integrations and APIs
Does the app communicate with external services, databases, payment systems, or internal APIs in a safe and understandable way?
Production Readiness
Are logging, error handling, configuration, deployment assumptions, and operational behavior good enough for real use?
What You Receive
You receive a written technical audit report.
The report typically includes:
- a clear summary for founders or non-technical stakeholders,
- prioritized findings,
- risk levels such as Critical / High / Medium / Low,
- concrete examples from the codebase,
- recommended next steps,
- a practical remediation roadmap.
The goal is not to shame the codebase or reject AI-assisted development.
The goal is to give you clarity.
AI can help teams build faster. But when software starts to matter, someone still needs to take technical responsibility.
What This Helps You Avoid
The audit can help you avoid:
- launching an app that is not ready for real users,
- building more features on top of a weak foundation,
- paying developers later to untangle avoidable technical debt,
- depending on code nobody understands,
- exposing sensitive data through careless implementation,
- discovering too late that the prototype should have been rebuilt.
The goal is simple:
Know what you have before you depend on it.
Pricing
Starter Audit — €500
Best for small SMB apps, MVPs, prototypes, internal tools, or single-feature applications.
Includes:
- initial codebase inspection,
- core structure and maintainability review,
- visible risk review,
- short written report,
- recommended next steps.
Typical scope: around 4–5 hours of review and report writing.
Standard Audit — €900–€1,500
Best for more serious applications, multi-role systems, web/mobile apps, or software that is already used by a team or customers.
Includes:
- deeper structure and architecture review,
- maintainability review,
- dependency and build setup review,
- integration and API risk review,
- structured report with prioritized findings,
- remediation roadmap.
Final price depends on codebase size, stack, and expected depth.
Critical System Audit — from €2,500
Best for business-critical, payment-related, data-sensitive, or larger multi-module systems.
Includes:
- deeper technical review,
- risk matrix,
- integration and production-readiness review,
- remediation roadmap,
- optional technical call.
Final scope and price are agreed individually.
Optional Next Steps
The audit is a fixed-scope engagement. There is no long-term lock-in.
After the report, you can:
- hand the findings to your internal team,
- give the roadmap to another developer or agency,
- ask me to prepare a more detailed fix plan,
- contract me separately for remediation or refactoring,
- set up ongoing technical oversight for future AI-assisted development.
The audit is the first step.
Fixing, refactoring, or supervising future development is agreed separately.
How It Works
1. Send a short description
Email me a brief description of your app, stack, current status, and how AI or low-code tools were used.
2. Agree on scope
I confirm whether the Starter, Standard, or Critical audit level makes sense.
3. Provide temporary read-only access
Usually this means read-only access to a GitHub, GitLab, or similar repository.
4. Receive the report
After access and scope are confirmed, you receive the written audit report within the agreed timeframe.
For small Starter Audits, this is usually 3–5 business days.
Request an AI-Built App Audit
To discuss an audit, contact me directly:
Please include:
- what the app does,
- the main technology stack,
- whether it is a prototype, internal tool, MVP, or production system,
- how AI, low-code tools, or vibecoding were used,
- whether you already have a repository available for review.
I usually reply within 48 hours.