Testing AI-built projects
AI-built apps ship in days, but beneath a flawless interface they hide bugs, security holes and technical debt. We bring them to the surface and fix them before they blow up in production.
What is testing of AI-built projects?
Testing of AI-built projects is the specialized review of applications generated with coding assistants (Cursor, GitHub Copilot, v0, Lovable, Bolt and the like). AI produces a lot of working code at high speed, but also subtle bugs, insecure decisions and shortcuts that aren't visible at a glance.
We audit your app's code and behavior: we look for logic bugs, security vulnerabilities, problematic dependencies, exposed data and technical debt that will slow your product down. We deliver a clear diagnosis and a plan to make it solid, maintainable and ready to grow.
Generating fast is not the same as being production-ready
AI speeds up development like never before, but it optimizes for something that works in the demo, not for something that withstands real users, attacks and maintenance. The result is often a perfect interface over fragile foundations: missing validations, exposed keys, logic that breaks in edge cases. Reviewing it before launch avoids costly incidents and full rewrites.
What you gain by looking under the surface
Without reviewing the AI code
What you gain with the audit
We surface the failures hidden beneath the interface before they reach your users.
We detect exposed keys, missing validations and poorly protected access that the AI overlooked.
We identify the shortcuts and fragile code that will cost you dearly and prioritize what to fix first.
We leave your app solid and maintainable so it can grow without rewriting it from scratch.
Our process, step by step
Project X-ray
runningWe review the code, dependencies and architecture the AI generated to understand what we're dealing with.
Security and data scan
queuedWe look for vulnerabilities, exposed secrets, missing validations and poorly protected access.
Functional and edge-case testing
queuedWe run the critical flows and push the edges where generated code usually breaks.
Technical debt analysis
queuedWe detect duplicated, fragile or hard-to-maintain code and measure what will slow your progress.
Prioritized report and action plan
queuedWe deliver the findings by severity, with examples and the concrete steps to make the app solid.
We understand how AI-built code fails
We're an ISTQB®-certified team that works daily with projects generated by AI assistants. We know where these models look the wrong way (security, edge cases, maintainability) and we combine analysis tools with expert human review. We explain every finding in your language, no smoke.
What the service includes
Request an audit of your AI-built project
Tell us which tool you built it with and what worries you. We reply in under 24h, in Spanish or English, with a tailored proposal.