Made on
Tilda
AI tools assemble a product in weeks. We check what is under the hood — architecture, security, code quality — and give you a plan for turning the prototype into a system you can rely on.
Products built with AI and no engineering oversight tend to carry the same recurring risks.
The system was never designed for growth or change.
Exposed data, weak authorization, unsafe integrations.
Works until you touch it; breaks on the first change.
Critical scenarios are handled incorrectly.
The system slows down as data and users grow.
No developer can get up to speed in the code quickly.
System structure, coupling between components, readiness to scale.
Readability, duplication, testability, adherence to accepted practice.
Authorization, data storage, vulnerabilities, integration security.
Bottlenecks, database usage, behavior under load.
Whether your team can keep developing the project, and what that will cost.
A clear report, with no technical fog.
A prioritized list of issues: critical / important / can wait
Business risk assessment — what can break, and when
A concrete remediation plan with an estimate of the work
A verdict: develop the current system, or rebuild it for less
The product works and users are coming. Time to find out whether the system survives growth — before it goes down.
You need an independent assessment: what is inside, whether it was done honestly, and which risks you take on along with the code.
Technical due diligence: investors and partners want to know what they are buying.
You give us repository access and describe the product. We sign an NDA.
Our engineers work through architecture, code, security and performance. Usually 1–2 weeks depending on scope.
We present the findings: issues, risks, remediation plan. We answer your questions.
Our team can fix the problems the audit found.