A fixed-scope technical review for applications built or accelerated with AI, low-code tools, or vibecoding.
AI tools can help teams build software faster.
But a working app is not automatically a maintainable, secure, or production-ready system.
If your company used AI to build an internal tool, MVP, prototype, SaaS product, or mobile/web app, this audit helps you understand what you actually have before you depend on it too much.
The Problem
AI coding assistants, LLMs, low-code platforms, and rapid “vibecoding” workflows can turn an idea into a working demo quickly.
That speed is useful.
The risk is that structural problems often remain invisible until later:
- fragile architecture,
- unclear system boundaries,
- hardcoded secrets or weak access checks,
- unreviewed third-party dependencies,
- duplicated or tangled business logic,
- inefficient API or database usage,
- poor error handling,
- missing environment separation,
- code that is difficult for human developers to maintain.
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:
Architecture and Boundaries
Is the system modular and understandable, or tightly coupled in ways that will make future changes risky?
Maintainability and Code Quality
Can a human developer understand, debug, and extend the codebase without fighting the structure?
Security and Data Handling
Are there obvious risks such as exposed secrets, weak authorization checks, unsafe data flows, or risky defaults?
This is not a formal penetration test or security certification, but it can reveal visible engineering 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:
- an executive 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.
Pricing
Starter Audit — €500
Best for small SMB apps, MVPs, prototypes, internal tools, or single-feature applications.
Includes:
- initial codebase inspection,
- core architecture 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 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.