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.
Ready to find out?
Takes 30 seconds. Zero risk. You might sleep better tonight.
Built with AI? We scan it.
30 seconds to know
No CLI. No config. No signup. Just your GitHub URL.
Paste your URL
Drop your public GitHub repo link. We fetch up to 200 source files automatically.
We scan everything
45+ vulnerability checks, infrastructure detection, cost estimation, scalability analysis — all seven dimensions.
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
30%Hardcoded secrets, XSS, SQL injection, auth issues, CORS misconfig, Supabase RLS
Architecture
12%Code organization, separation of concerns, API structure, state management
Scalability
12%Database indexing, pagination, caching, connection pooling, async patterns
Production Readiness
18%Error handling, logging, health checks, graceful shutdown, environment configs
Code Quality
8%TypeScript usage, linting, testing, documentation, naming conventions
Cost Efficiency
8%Monthly cost estimate, 10x cost projection, wasteful patterns, tier optimization
Infrastructure
12%Hosting detection, monitoring, CI/CD, vendor lock-in risk, scaling ceiling
The vibe coding security gap
AI coding tools are incredible at building fast. They’re not great at building safe.
of AI-generated code contains OWASP Top 10 vulnerabilities
Veracode 2025more likely to contain XSS vulnerabilities than human-written code
Academic study 2025growth in security findings from AI code every 6 months
Apiiro Researchof 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 2025Questions 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.
Built by someone who's seen what breaks
Nathan Hart, Founder
A decade at AWS leading enterprise support for some of the company's most strategic customers — including the companies training today's frontier AI models. Before that, CIO of a national commercial real estate capital markets firm, founder of an ISP serving 11 cities, and Senior Technical Program Manager on one of the largest healthcare data warehouses in the country.
He's also been on the wrong side of misplaced trust — losing everything in one of Bitcoin's first Ponzi schemes and later testifying in the DOJ case against the perpetrator. That experience shaped how PathToShip handles your code: minimally, transparently, and with architectural guarantees that eliminate the need for blind trust.
“I've watched five technology waves produce the same failure pattern. I built PathToShip so this wave has a guardrail.”