Typical problems
- You do not know whether the prototype is technically viable
- Secrets, API keys, or data flows may be unsafe
- Before investors, customers, or launch, you need technical certainty
AI code review
An AI prototype can look convincing and still hide technical debt. In the review, I check architecture, security risks, configuration, build, dependencies, and maintainability.
Process
You provide repository or project access with the necessary information.
I check structure, build, security basics, and critical paths.
You receive a prioritized assessment instead of vague gut feeling.
Matching packages
When the project starts, but nobody knows why it keeps breaking.
Code review, build/import check, and rescue plan within two business days.
For prototypes that almost work but are not reliable yet.
Triage plus up to ten hours of targeted repair and stabilization.
Ongoing senior control while you continue developing with AI.
Monthly allowance for reviews, small fixes, and technical guardrails.
FAQ
Yes, especially if the code was created heavily with AI tools and no experienced developer has reviewed it yet.
I check obvious technical risks such as secrets, API flows, and configuration. This does not replace a formal penetration test.
Yes. The triage or review can directly become a stabilization sprint.
a Jurono service