It works in the demo.
Let's make it production-ready.
I audit what your AI tool generated, fix the security and money-math, and rebuild only the parts that won’t scale.
AI prototypes fail in predictable places.
If any of these worry you, harden before you launch — not after the first incident.
Four steps from stuck to shipped
Audit
Security, data, money-math and performance review of the generated code.
Fix the dangerous parts
Access controls, exact-decimal money, validation.
Rebuild what won’t scale
Only the parts that need it — keep what works.
Launch safely
Monitoring, tests on critical paths, launch support.
Know exactly what’s safe to launch.
A part-by-part verdict on your prototype, with the fixes ranked by risk and a fixed quote.
Sikandar was an absolute pleasure to work with. He is professional, experienced, and brought valuable insights to the development of my platform. He wasn't afraid to offer constructive feedback and push back when it would improve the project, including steering me away from spending more than necessary. After reviewing the data and pricing, it's clear he understood the challenges long before I did and genuinely cared about my budget. His expertise and collaborative approach made the process smooth and efficient. Highly recommended!
Bruno Peterle · Founder, nestperQuestions before we start
Code from any AI builder or assistant — the audit looks at the code, not the tool that wrote it.
No. Keep what works, fix what’s risky, rebuild only what won’t scale.
Often. A rules-first, AI-second design cut one client’s running cost by roughly 75%.
Yes — all code and IP transfer to you on final payment.