Skip to main content
Vibe App Rescue website preview

Vibe App Rescue

Launch your AI-coded app with total confidence

About

Vibe App Rescue runs line-by-line code reviews of AI-built apps. Their stated scope per the public site: security and data integrity hardening, a scale-safely roadmap as users grow, and capital-raise readiness for founders going into due diligence. The team is described as experienced developers and technical consultants with backgrounds in high-growth startups, cyber security, technical due diligence, and global enterprise software consulting. They cover code from Claude, Copilot, Lovable, OpenAI, Replit, and Cursor.

Services

Launch-Readiness Code Review

Code Review

Line-by-line code review with security, data integrity, scale-safely, and capital-raise tracks. Pricing on intake call.

Custom quote

Vibe Tool Expertise

Tech Stack

react
typescript
ExpertProficientFamiliar

Problems This Agency Can Fix

Security Vulnerabilities
Critical

AI coding tools often generate code with exposed API keys, missing input validation, broken authentication, and insecure data handling. These vulnerabilities can lead to data breaches, unauthorized access, and compliance failures.

Broken Authentication
Critical

Authentication is one of the most common failure points in vibe-coded apps. AI tools frequently generate insecure auth flows, missing session validation, broken password resets, and improperly configured OAuth.

Database Issues
High Priority

AI-generated database schemas often lack proper indexes, have no Row Level Security, use inefficient query patterns, and create data integrity problems. These issues worsen as your app grows.

Code Quality Issues
Medium

AI-generated codebases frequently have duplicated logic, inconsistent patterns, missing error handling, no TypeScript strict mode, and poor separation of concerns. This makes maintenance and feature additions increasingly difficult.

API Integration Issues
Medium

AI tools often generate API integrations with missing error handling, no retry logic, hardcoded endpoints, and insecure credential storage. These integrations break silently and are difficult to debug.

Mobile Issues
Medium

AI-generated UIs often look great on desktop but break on mobile devices. Missing responsive breakpoints, oversized images, touch-unfriendly controls, and fixed-width layouts create poor mobile experiences.

SEO Issues
Medium

AI-generated apps often lack proper meta tags, structured data, semantic HTML, and server-side rendering. This makes them invisible to search engines and kills organic traffic potential.