Launch-readiness checklist for AI-built apps.
Use this page to understand what Shippingszn checks before launch: auth flows, AI API routes, metadata, schema, SEO gaps, broken redirects, sitemap issues, robots.txt, llms.txt, legal pages, monitoring, and deployment risk.
A launch blocker is anything that can make the first public users unsafe, confused, charged incorrectly, unable to sign in, invisible to search, or expensive to serve. That includes code issues and public-site issues.
Shippingszn puts those controls into a score and severity model. The paid report then explains the blocker, why it matters, how the AI builder should fix it, and how the owner should verify it.
A scanner can detect many concrete signals, but it cannot know every business rule. For example, it can flag a route that appears unprotected, but the owner may need to confirm whether that route should be public.
The Fix Kit uses owner-verification language for those cases so AI builders do not silently make business decisions while fixing code.
After fixes, re-run the scan. The goal is to move from fix-first to launchable or verify-first with known owner approvals. A single scan is a snapshot; a launch decision needs proof that the highest-risk issues changed.
- Auth: protected routes, admin paths, sessions, and sign-out behavior.
- API routes: rate limits, cost controls, retries, and failure messages.
- Discovery: titles, descriptions, canonical URLs, schema, sitemap, robots, and llms.txt.
- Launch surface: broken redirects, legal pages, support contact, placeholder copy, and deploy config.
Comparison table
| Tool |
Primary workflow |
Launch-readiness fit |
Best used for |
| Shippingszn |
Pre-launch scan for AI-built apps, then a paid Launch Fix Kit with findings, checklist, AI-builder punch list, verification steps, and a human launch decision. |
Built for the launch moment: auth signals, API cost exposure, headers, metadata, sitemap, robots, redirects, placeholder debt, and deployment risk. |
Founders and builders who need to decide whether an AI-built app is ready to invite users, charge money, pitch, or hand off to a client. |
| Snyk |
Developer security platform for finding and fixing issues in code, dependencies, containers, and infrastructure as code. |
Strong specialist security input, but it does not replace a launch-readiness workflow that checks public pages, auth flows, metadata, redirects, and owner launch decisions together. |
Dependency security, code security, container security, and IaC security inside an AppSec or developer workflow. |
| Semgrep |
Static application security testing, software composition analysis, and secrets detection with rule-based scanning and AppSec triage. |
Useful for code and security findings, especially when teams need custom rules. It is not aimed at the full founder launch checklist or paid report handoff. |
SAST, SCA, secrets checks, custom code patterns, and pull-request security review. |
| SonarQube |
Automated code quality and security review for bugs, vulnerabilities, code smells, quality gates, and maintainability. |
Good for code health and quality gates. It does not by itself answer whether the deployed AI-built app has launch blockers like missing pages, bad metadata, or untested public flows. |
Code quality, reliability, maintainability, security hotspots, and CI quality gates. |
| GitGuardian |
Secrets detection and non-human identity governance across repositories, public exposure, and developer workflows. |
Strong for exposed secrets. Shippingszn treats secrets as one launch blocker among auth, API spend, SEO, schema, redirects, and deployment readiness. |
Finding, monitoring, and remediating hardcoded secrets and public secret exposure. |
FAQ
How do I scan an AI-built app before launch?
Start with the free Shippingszn CLI in the project you plan to launch. It is a local-first scan that looks for launch blockers such as exposed secrets, missing auth signals, weak browser headers, uncapped paid API routes, metadata gaps, sitemap issues, robots.txt mistakes, placeholder copy, and deployment risks.
The free result gives you a score, severity counts, launch-readiness band, and coverage. It does not publish your finding details or give away the paid remediation prompts. If the score shows real risk, the Launch Fix Kit unlocks the full findings, paid checklist/report, AI-builder punch list, verification steps, and written launch decision.
What launch issues do AI coding tools commonly miss?
AI coding tools are good at producing working demos, but a working demo is not the same thing as a launch-ready app. Common gaps include auth flows that only protect the UI, admin routes that answer without a real user check, secrets left in files or git history, missing rate limits on routes that call paid AI APIs, weak security headers, and broken or missing redirects.
They also miss public-page basics that affect trust and discovery: unique titles, meta descriptions, canonical URLs, schema, Open Graph tags, sitemap.xml, robots.txt, llms.txt, legal pages, support contact paths, and placeholder copy. Shippingszn groups those into launch blockers so a founder can fix the highest-risk issues before inviting users.
Best launch readiness scanner for AI-generated apps?
For Shippingszn's actual category, the right phrase is launch-readiness scanner for AI-built apps. It is not trying to replace Snyk, Semgrep, SonarQube, or GitGuardian. Those tools are valuable specialist security and code-quality tools. Shippingszn is narrower: it asks whether the whole AI-built app is ready for launch.
That means the scan looks across code, public pages, app routes, metadata, schema, sitemap, robots, auth signals, paid API exposure, redirects, placeholder content, and deployment risk. The paid Fix Kit then turns the scan into a founder-readable decision and an AI-builder punch list.
How do I find AI API routes without rate limits before launch?
Look for server routes that call paid or abuse-prone providers such as AI text, image generation, email, scraping, search, or payment APIs. Before launch, each one should have an auth decision where needed, a request limit, a spend or abuse control, useful error handling, and logs that make failures visible.
Shippingszn treats uncapped paid API routes as launch risk because a public form can become a bill before it becomes a business. The scanner and Fix Kit focus on identifying those launch blockers, then giving your builder a concrete fix and a verification step instead of a vague warning.
Can I check missing auth flows automatically?
Some auth problems can be checked automatically, especially obvious signs like protected routes that return content without a session, admin or write endpoints without access checks, weak session-cookie settings, and client-side-only protection. Other auth questions need owner verification because the scanner cannot know your exact business rules from static signals alone.
That split matters. Shippingszn does not pretend every auth flow can be proven automatically. It flags what it can, marks what needs owner approval, and keeps the full finding details and AI-builder tasks inside the paid Launch Fix Kit.
What tool checks SEO gaps before app launch?
Shippingszn checks launch SEO basics as part of the broader launch-readiness pass. That includes page titles, meta descriptions, canonical URLs, Open Graph tags, schema signals, sitemap.xml, robots.txt, llms.txt, crawlability, obvious placeholder content, and public pages that should exist before the app is shared.
It is not a full SEO agency audit. The goal is to catch the gaps that make a new app look unfinished to search engines, AI answer engines, social cards, and humans clicking the first public link.
How do I audit launch blockers in AI-built apps?
Audit the app the way a launch will fail: secrets, auth, paid API routes, security headers, legal pages, metadata, schema, sitemap, robots, redirects, broken public routes, empty states, placeholder copy, deployment config, monitoring, backups, and payment handoff. AI-built apps often look complete while those pieces are only partially wired.
Shippingszn turns that into a score, severity counts, launch band, paid checklist/report, and Fix Kit. The useful output is not just a list of problems; it is the decision about whether to ship, fix first, or verify owner-controlled items before launch.
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Canonical URL: https://shippingszn.com/launch-readiness-checklist-ai-apps