Feature Reality Check
We compare what the product appears to do with what is actually implemented, connected, persisted, and reliable.
Working end-to-end
Partially implemented
UI-only or mocked behavior
Broken edge cases
AI-Built App Review & Rescue
You vibe-coded your app. Now let an engineer take it from here.
If your app was built with AI and is becoming a real product, we review what actually works, what is fragile, what needs fixing, and the clearest path to production without rebuilding more than necessary.
Built with one of these, or something similar?
LovableBase44BoltReplitCursorClaude Codev0Windsurf
The Handoff Point
You do not need a lecture about vibe coding. You need clarity.
AI coding tools can get a product surprisingly far. The difficult part starts when the app needs real users, payments, private data, integrations, reliability, or a second engineer who has to understand the code.
Our job is to tell you what you have now, what can safely stay, and what needs professional engineering before the product grows.
The first question we answer
What is actually real in this app?
Working end-to-end
Partially connected
Happy-path only
UI-only or mocked
Unsafe for production
Ready to keep building
Engineering Review
We review the product, not just the code.
A clean-looking codebase can still have broken product flows, and a messy-looking generated codebase can still contain plenty worth keeping. We look at both.
Architecture & Maintainability
We look at whether the current structure can support the next stage of the product without making every new feature harder.
Frontend/backend boundaries
Database structure
API design and integrations
Generated-code duplication and coupling
Auth, Data & Security
We inspect the areas that become important when real users, private data, payments, and external services enter the product.
Authentication and authorization
Data access rules
Secrets and environment variables
Input validation and exposed endpoints
Production Readiness
We identify launch blockers and operational gaps that may not show up while you are testing the happy path yourself.
Error handling and failure states
Payments and webhook flows
Deployment configuration
Logging, monitoring, tests, and performance
The Decision Framework
Keep. Fix. Replace.
We do not start from the assumption that AI-generated code should be thrown away. Each important part of the product gets a practical engineering decision.
Keep
Parts that are already sound, understandable, and good enough for the product's next stage.
Fix
Useful parts that should stay but need targeted engineering work before you rely on them.
Replace
Only the pieces where rebuilding is clearly safer or cheaper than continuing to patch the current implementation.
From Review to Rescue
A clear path from prototype to real product.
01
Give us the product context
Share the live app or preview, repository access, the AI tools you used, and the parts you are least confident about.
02
Engineer review
We inspect the product behavior and codebase, then trace the important flows instead of judging the project from code style alone.
03
Reality report
You get a prioritized view of what works, what is incomplete, what is risky, and what should be kept, fixed, or replaced.
04
Rescue plan
We turn the findings into a practical sequence of fixes, production-hardening work, and optional feature development.
05
We can take it forward
If you want, XSOLAI can implement the fixes and continue as the engineering team behind the product.
This is a good fit when...
The app works, but you are not sure whether it is safe to launch.
Every new AI-generated change seems to break something else.
You need real auth, roles, payments, data rules, or integrations.
You want an engineer to take ownership without discarding months of work.
You inherited an AI-built codebase and need to understand it before committing more budget.
What to send us
App URL or preview link
Which AI builder or coding tools you used
Repository access, when available
Whether the app has real users, payments, or sensitive data
The features or failures you are least confident about
Do not send passwords, private API keys, production secrets, or credentials by email or chat. We can arrange secure access when it is needed.
Vibe-Coded App Review FAQ
Do you automatically recommend rebuilding AI-generated apps?
No. The goal is to preserve useful work. We recommend replacing a component only when there is a clear engineering reason to do so.
Can you review an app built with Lovable, Base44, Bolt, Replit, Cursor, or Claude Code?
Yes. The review is based on the resulting application, architecture, codebase, data flows, and integrations rather than one specific builder.
What if the app already has real users?
That is a strong reason to review it carefully. We can focus the assessment on the highest-risk production flows first, such as authentication, permissions, payments, data handling, and failure states.
Can XSOLAI fix the issues after the review?
Yes. The review can lead directly into a rescue sprint, production hardening, or ongoing engineering work if that is the right next step.
Do I need to be technical to use this service?
No. The report is designed to make the current state of the product understandable to a founder or business owner, while still being specific enough for engineers to act on.
What should I send before the review?
Start with the app URL, repository access when available, the AI tools you used, whether the app has users or payments, and the areas you are worried about. Never send passwords, API keys, or secrets in an email or form.
Your prototype already has value
Let's find out what it needs next.
Send us the app and the part you are worried about. We will start with the engineering reality, then decide whether the right next move is a focused fix, a rescue sprint, production hardening, or continued development.