AI-Generated Code Still Needs an Owner
Why faster code generation without clear review rules accelerates technical debt, security gaps, and maintenance risk.
After many AI edits, projects often contain duplicated patterns, inconsistent API flows, fragile components, and unclear database assumptions. I stabilize the core paths so further development becomes more predictable again.
Who this is for
When you built fast with ChatGPT, Cursor, or Claude and the prototype now needs stability, structure, or real error handling.
What you get
How it works
I check build, routing, data flows, and configuration.
The most important flows are stabilized before side issues.
Errors are fixed deliberately and documented.
So you can judge whether the package fits before booking.
I check technical signals and give you a clear priority list, not legal assessments.
Booking creates the order. Work begins only after you confirm the start in the customer panel.
You receive concrete findings sorted by risk, effort, and impact.
Every package includes a written summary of findings and next steps.
Packages
Choose the package that matches your situation. You can always start with an audit and add implementation later.
When the project starts, but nobody knows why it keeps breaking.
Code review, build/import check, and rescue plan within two business days.
one-time payment, plus VAT where applicable
Risk reversal
If the triage finds no actionable problems, we discuss how the price can still be used meaningfully.
Commercial terms
For prototypes that almost work but are not reliable yet.
Triage plus up to ten hours of targeted repair and stabilization.
one-time payment, plus VAT where applicable
Risk reversal
If the analysis shows that production rescue is not the next sensible step, the amount is fully credited when you book a stabilization sprint.
Commercial terms
Ongoing senior control while you continue developing with AI.
Monthly allowance for reviews, small fixes, and technical guardrails.
monthly subscription, plus VAT where applicable
Commercial terms
Results and timelines depend on the concrete state of your website or repository. You only book implementation if the priorities make sense.
Related insights
Supporting articles are matched to this service page and its recommended packages.
Why faster code generation without clear review rules accelerates technical debt, security gaps, and maintenance risk.
AI tools accelerate development, but they also introduce new risks to code security and data. What do companies need to consider for ISO 27001 and compliance?
FAQ
No. The same problems also happen with ChatGPT, Claude, Lovable, and other AI tools.
Yes, where it is necessary for stability and maintainability. Large refactors are prioritized instead of started blindly.
Yes, ideally with clearer guardrails so new AI changes cause less damage.
Start with a technical check. If the findings are minor, you can stop there, hand the report to your existing team, or book targeted fixes later.
Technical audit and implementation, not legal advice. I check visible signals, integrations, and delivery issues; legal texts and binding legal assessments remain the work of lawyers or privacy consultants.