45% of AI-generated code contains security vulnerabilities

Is your vibe-coded app
production ready?

Paste your GitHub URL. Get an instant score across security, infrastructure, scalability, and 4 more dimensions.

Free. No signup. Public or private repos. Built for apps made with Bolt, Lovable, Cursor, Replit, and v0.

Public repos · Up to 200 files·Scans .js .ts .py .json .yaml + configs
Private repo?
Read-only · Access revoked after scan
Your source code is analyzed server-side and never stored. We keep only the scan results.
45+
Vulnerability Checks
22
Best Practice Checks
7
Dimensions
Free
No Signup Required

Built with AI? We scan it.

Bolt.newLovableCursorReplitv0WindsurfClaude Code

30 seconds to know

No CLI. No config. No signup. Just your GitHub URL.

01
🔗

Paste your URL

Drop your public GitHub repo link. We fetch up to 200 source files automatically.

02
🔬

We scan everything

45+ vulnerability checks, infrastructure detection, cost estimation, scalability analysis — all seven dimensions.

03
📊

Get your score

A PathToShip Score from 0–100, prioritized fixes, and a complete infrastructure profile.

Seven dimensions of production readiness

Most scanners check security. We check everything between “it works on localhost” and “it’s ready for real users.”

🛡️

Security

25%

Hardcoded secrets, XSS, SQL injection, auth issues, CORS misconfig, Supabase RLS

🚀

Production Readiness

18%

Error handling, logging, health checks, graceful shutdown, environment configs

☁️

Infrastructure

17%

Hosting detection, monitoring, CI/CD, vendor lock-in risk, scaling ceiling

🏗️

Architecture

12%

Code organization, separation of concerns, API structure, state management

📈

Scalability

12%

Database indexing, pagination, caching, connection pooling, async patterns

Code Quality

8%

TypeScript usage, linting, testing, documentation, naming conventions

💰

Cost Efficiency

8%

Monthly cost estimate, 10x cost projection, wasteful patterns, tier optimization

The vibe coding security gap

AI coding tools are incredible at building fast. They’re not great at building safe.

45%

of AI-generated code contains OWASP Top 10 vulnerabilities

Veracode 2025
2.74×

more likely to contain XSS vulnerabilities than human-written code

Academic study 2025
10×

growth in security findings from AI code every 6 months

Apiiro Research
90%

of developers will use AI code assistants by 2028

Gartner 2025

“By 2028, prompt-to-app approaches adopted by citizen developers will increase software defects by 2,500%.”

— Gartner, December 2025

Questions you should ask

You’re trusting us with your code. Here’s how we handle that responsibility.

Do you store my source code?

No. Your code is fetched from GitHub, analyzed in memory on our server, and discarded immediately after scanning. We never write your source code to disk or database. The only things we store are the scan results: scores, findings, infrastructure profile, and metadata like file count and language.

Can you see private repositories?

Not without your permission. To scan a private repo, you connect your GitHub account via OAuth. We request read-only access, scan in memory, and revoke the access token immediately after. You’ll see a confirmation badge on your results: “GitHub access revoked.”

What data do you keep from a scan?

We store the PathToShip Score, dimension scores, detected findings, infrastructure profile, detected tool/framework/language, file count, and line count. This aggregate data helps us understand vulnerability patterns across AI coding tools — it’s how we publish research like “which vibe coding tools produce the most secure code.”

Will my scan results be public?

Not by default. Scan results are accessible via a unique URL (for sharing), but they are not indexed by search engines and not listed publicly. You control who sees your results.

Is this really free? What’s the catch?

The free scan is genuinely free with no signup required. We’re building a paid product for deeper AI-powered analysis and remediation guidance. The free scan gives you real value now, and the data helps us build a better product. If you find the free scan useful, we hope you’ll consider the paid tiers when they launch.

How is this different from Snyk, CodeQL, or other scanners?

Those tools are built for developers and require CLI setup, CI/CD integration, or IDE plugins. PathToShip is built for founders who used AI to build their app and want to know if it’s safe to ship — in 30 seconds, with zero setup. We also scan beyond security: infrastructure, scalability, cost, and production readiness.

Ready to find out?

Takes 30 seconds. Zero risk. You might sleep better tonight.