What’s included in an AI-Built Product Review
AI generates code fast. It doesn’t own the consequences. This review is scoped for products that were built quickly with AI coding tools it looks for the decisions nobody made deliberately, across security, architecture, scalability, deployment, and maintainability, before real users arrive.
- Review scoped to how the product was actually built, tool by tool
- Security, architecture, scalability, deployment, and maintainability assessed together
- Backend enforcement checked against what the interface merely appears to protect
- Secrets, API keys, and environment variable handling audited
- Recovery objectives documented and restore paths actually exercised
- Prioritized roadmap of what to fix before onboarding real users
Built With
- Cursor, Claude Code, Copilot.
- Lovable, Bolt, and other no-code and low-code builders.
- Mixed builds part AI, part internal team.
- Vibe-coded and fast-built products of any stack we review.
Scoped on application
See all pricingWhat the AI Didn’t Catch
Six questions from our readiness scorecard, and what the answers usually reveal about a codebase written at prompt speed.
Prompt-shaped layering
Whether frontend, backend, database, and third-party services are cleanly separated or whether each feature was generated end to end, so every layer reaches straight into the next.
A data model nobody designed
Schema and relationships produced one feature at a time, with no point at which anyone sat down and designed the data as a whole. It holds until the first query that crosses two of those features.
Complexity that compounds
AI-generated code accumulates invisible complexity that compounds silently with every new feature. Each addition works; the accumulation is what nobody is tracking.
Speed nobody measured
No one can say which parts get slow as users grow, because the data access patterns were never chosen deliberately they were generated feature by feature and never compared.
Logic nobody wrote down
Core business rules living only in generated code, with no documentation and no automated tests around the workflows that matter. A new developer cannot get productive in a few days.
One developer who understands everything
The person who ran the prompts is the only one who knows why anything is shaped the way it is. That is a dependency, and it only becomes visible when they are unavailable.
How it works
Intake
You tell us which tools built it and how much of it you wrote yourself. That shapes where we look first.
Score
The product is scored across security, architecture, scalability, deployment, and maintainability.
Prioritize
A readiness picture across all five areas, ordered by what has to be true before real users arrive.
Frequently Asked Questions
Clear, straightforward answers about scope, security, and what happens after the audit.
Yes. Vibecop works with private repositories and sensitive production systems under secure review workflows and NDA-friendly processes.
Build with
confidence.
AI builds the product. Vibecop makes sure it won’t break in production, fail under scale, or expose your users to risk. One audit. Fewer expensive surprises.