VibeQA

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VibeQA is a tool that helps developers catch the quality issues AI coding tools often miss. AI can write working code quickly, but it often skips important production details like security checks, validation, error handling, accessibility, and user experience polish. VibeQA scans your repository and tests your app in a real browser, then gives clear, actionable feedback.

Inspiration

We kept seeing AI-built projects that worked locally but failed in production. Missing rate limits, weak auth checks, broken mobile layouts, and silent errors were common. We wanted a system that acts like a smart reviewer — one that doesn’t just check syntax, but checks real-world readiness.

How We Built It

We combined static code scanning with live browser testing. The system evaluates projects against 100+ quality rules and uses AI agents to explore the running app across different screen sizes. Each issue is categorized (P0, P1, P2) and comes with explanations and step-by-step fixes.

What We Learned

We learned that “it works” is very different from “it’s production-ready.” Many problems are not visible until you test behavior, edge cases, and real user flows.

Educational Purpose

VibeQA isn’t just about finding bugs — it’s about teaching developers better patterns. Every issue includes: • Why it matters • How to fix it • The principle behind it

The goal is to help developers not only fix today’s problem, but avoid repeating it in future projects.

Challenges

Balancing accuracy with low false positives, handling different frameworks, and generating feedback that is helpful rather than overwhelming were our biggest challenges.

Result

VibeQA helps developers ship safer, cleaner, and more reliable applications — while learning what production-quality code really looks like.