Wavect
Vibe code the idea. Wavect helps you ship the product.
About
Wavect is a senior, AI-native software product studio in Austria that works directly on existing Cursor, Claude, Codex, Lovable, Bolt, Base44 and Replit codebases. Their pitch is that AI makes the first 70 to 80 percent of a product easy and the hard part starts afterwards: architecture, security, edge cases, integrations, testing, performance and maintainability. Typical engagements are codebase and architecture reviews before launch, QA and automated testing, fixing bugs, security issues and technical debt, completing the last 20 percent that AI struggles with, backend and infrastructure setup, complex integrations, and taking over development when a project outgrows solo vibe coding. The founder keeps the speed and creative freedom of AI-assisted building; Wavect supplies the senior engineering, QA and product expertise behind it. Stack covers TypeScript, Rust, Go, SQL and NoSQL, Next.js, NestJS, React, React Native, Ionic, Angular, Flutter, Dart, Python and Solidity. Case studies on wavect.io include Twinsoft AI, PromptID, Hyperstate AI and LivLive.
Services
Codebase and Architecture Review
Pre-launch review of an AI-generated codebase: architecture, security, edge cases and a prioritised fix list.
QA and Automated Testing
Test coverage, automated test suites and release QA for apps that have real users.
Security and Technical Debt Fixes
Fixing security issues and technical debt left by fast AI-assisted builds.
Backend, Infrastructure and Integrations
Backend and infrastructure setup, complex third-party integrations and production-grade features.
Takeover Development
Senior team takes over development when the project outgrows solo vibe coding, without starting over.
AI Integration
Production AI features and agent integrations built into an existing product.
Vibe Tool Expertise
Tech Stack
Problems This Agency Can Fix
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.
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.
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.
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.
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.
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.
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.
AI-generated code often works locally but fails during deployment. Common issues include missing environment variables, incorrect build configurations, incompatible dependencies, and misconfigured hosting platforms.