VibeQA runs two AI agents on every scan — one reads your source code, one operates a real browser on your live site — then explains exactly what's wrong and teaches you why it matters.
Vibe coding — using AI assistants to generate features at speed — is incredibly powerful. But AI models are optimised to make code that works, not code that is secure, observable, and production-ready. Two entire coverage gaps are almost always left open.
Gap 1 — Static code quality
What the AI never mentions
AI assistants generate route handlers, auth flows, and API endpoints — but they routinely skip:
These aren't bugs — the code runs fine. They're the gaps that let attackers in and make production incidents impossible to debug.
Gap 2 — Runtime behaviour
What only a real browser finds
Code review tells half the story. A browser agent finds the other half by actually using your app:
No static analyser can see these. You need a real browser to run the flows a user would actually take.
See it in action
One combs your repository. One drives your live site. Every finding links back to the code — with a plain-English explanation of the risk.
Code analysis agent
$ vibeqa analyze github.com/my-app
✓ Fetching repo tree (243 files)...
✓ Static checks: endpoints, auth, validation
✓ AI report generated (GPT-4.1)
↳ Browser agent launched at https://my-app.com
✓ 18 issues found · 3 P0 · 8 P1 · 7 P2
✓ Each issue includes: why it matters + fix steps
Issue detail — with education built in
Why it matters
An attacker can craft a page that silently submits a login form on behalf of a visitor, hijacking their session without any interaction.
Evidence — app/api/auth/login/route.ts:12
export async function POST(req: Request) {
// ← no origin / csrf token check
const { email, password } = await req.json();
Fix steps
Most QA tools hand you a bug list. VibeQA explains the why behind every issue — so you ship the fix and understand the pattern well enough not to repeat it.
Understand the security model behind each check
Every security finding links to the attack vector it prevents. CSRF, injection, auth bypass — explained in plain English, not CVE numbers.
See the real user impact before it happens
Each issue shows the user-facing consequence: 'a visitor sees a blank screen', 'a screen reader can't navigate this page', 'an attacker can brute-force passwords'.
Get concrete fix steps, not vague advice
Every P0–P2 issue includes implementation steps and acceptance criteria you can paste into AI assistant prompts to generate the fix.
Learn the framework-specific best practice
Checks are tuned to your stack: Next.js App Router, Express, FastAPI. You learn the right pattern for your specific setup, not generic advice.
Before — what the AI generated
Unvalidated input + no rate limit = brute-forceable login endpoint
After — following VibeQA guidance
Validated input, rate-limited, standardised error shape
These aren't rare edge cases. They appear in the majority of AI-generated codebases — and every one of them has a simple fix once you know what to look for.
No rate limit on POST /api/auth/login
Without a rate limit, any attacker can try millions of password combinations. 10 lines of middleware prevents account takeover.
State-mutating route accepts any Origin
A malicious site can silently submit forms as your logged-in users. One Origin check blocks the entire attack class.
req.json() used without Zod / schema parse
Unvalidated input is the root cause of most injection and type-coercion bugs. A 5-line Zod schema eliminates the entire input surface.
No request ID attached to log entries
Without a request ID you cannot correlate a user complaint to a server error. Every failed request becomes a mystery.
<img> tags missing alt attribute
Screen readers announce 'image' to blind users. Alt text is a 10-second fix that opens your product to millions of users.
GET /api/items returns all rows with no limit
As data grows, this query will time out or OOM your server. Pagination with a max-limit cap is a one-time fix.
How it works
Pick from your connected repos. No write access, no OAuth scopes beyond 'read'. The agents fetch the tree and get to work.
The code agent scans endpoints, patterns, and stack. The browser agent navigates every route of your live site — clicking, submitting, observing.
Issues arrive prioritised P0–P2, each with: the vulnerability class, user impact, code evidence with line numbers, and step-by-step fix guidance.
Connect your GitHub repo. In under two minutes, get a full code + browser audit — with explanations that make you a better builder, not just a faster one.