PATHTOSHIP Reviews & Product Details

PathToShip is a production-readiness scanner for applications built with AI coding tools. Paste a GitHub URL and in about 30 seconds you get a 0–100 score, a prioritized list of findings with concrete fixes, and a clear answer to the question every AI-assisted builder eventually faces: is this actually safe to ship? The scanner runs more than 75 checks across seven dimensions: security, architecture, scalability, production readiness, code quality, cost efficiency, and infrastructure. Findings are ranked by severity with file-and-line locations and plain-language explanations of what's wrong and how to fix it, so the results work whether you read them yourself or hand them to your AI coding assistant. The scan also estimates your monthly infrastructure cost today and at 10x scale, and flags vendor lock-in before it gets expensive. PathToShip is built for founders, agencies, and small teams shipping apps made with Bolt, Lovable, Cursor, v0, Replit, Windsurf, and similar tools. These tools are remarkable at producing working software quickly; what they don't reliably produce is software hardened for real users. We scanned 521 public AI-built repositories and found that only 20 percent met the production-ready bar of 80/100, 36 percent had at least one critical security finding, and 25 percent shipped a hardcoded secret or API key. The gap between a working demo and a shippable product is real, and it is usually the same handful of issues. The free tier is the complete scan: every finding, no signup, public or private repositories. Apps that score 80 or higher earn a shareable, embeddable PathToShip Certified badge with per-dimension scores. For teams that want to close the gap quickly, a one-time $99 ASSESS report adds AI-generated remediation specs for each finding, a step-by-step mitigation checklist designed to paste directly into your AI coding tool, a vendor lock-in and exit-cost analysis, and a downloadable PDF. We hold ourselves to the same standard we apply to everyone else. Our own repository initially scored 56/100 on our own scanner. We bought our own report, worked the checklist, and reached 97, earning our own Certified badge, and we published every finding and fix along the way, including the false positives we corrected in the scanner itself. If you've built an app with AI assistance, find out where you stand before your users do.