Measured: 101 findings across 13 popular AI-app starter repos (static scan, reproducible)
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What 13 popular AI-app starter repos fail on
Measured 2026-09-16 with vibecheck, a deterministic static analyser for the production-failure patterns AI-built apps hit.
Method
- Corpus: 13 popular open-source starter/app repos (shallow clone, default branch).
- One repo excluded from the per-project numbers:
Anil-matcha/awesome-generative-ai-appsis a catalogue containing many sub-projects, so its counts are not comparable to a single app. - Scanner:
vibecheck.py(stdlib-only, deterministic, no network, test/fixture paths skipped by default). Run on the tree as published, unmodified.
Headline numbers
- 4 of 13 repos scanned clean (31%).
- 101 findings across the rest: 50 critical, 18 high, 33 medium.
- The excluded catalogue repo alone produced 269 further findings, a hint at what accumulates when many small AI-built projects are combined.
What the failures actually are
| rule | repos affected | what it means |
|---|---|---|
route-without-auth | 6 | An API route with no authentication check — the classic 'I'll add auth later'. |
client-exposed-secret | 5 | A secret-ish variable shipped to the browser bundle via a public prefix. |
dangerous-html | 5 | Untrusted content rendered as raw HTML (XSS surface). |
auth-todo | 1 | A TODO/stub standing where an auth check should be. |
cors-wildcard | 1 | Access-Control-Allow-Origin: * on an authenticated surface. |
hardcoded-secret | 1 | A real credential literal committed in source. |
Per-repo results
| repo | stars | findings | critical | high | medium |
|---|---|---|---|---|---|
onlook-dev/onlook | 26746 | 67 | 36 | 6 | 25 |
imbhargav5/nextbase-nextjs-supabase-starter | 817 | 13 | 10 | 2 | 1 |
moinulmoin/chadnext | 1324 | 7 | 1 | 3 | 3 |
reliverse/relivator | 1560 | 4 | 0 | 4 | 0 |
michaelshimeles/nextjs-starter-kit | 3052 | 3 | 0 | 2 | 1 |
Blazity/next-saas-starter | 1690 | 3 | 0 | 0 | 3 |
olafsulich/fullstack-nextjs-ecommerce | 844 | 2 | 2 | 0 | 0 |
steven-tey/precedent | 5110 | 1 | 1 | 0 | 0 |
theodorusclarence/ts-nextjs-tailwind-starter | 3417 | 1 | 0 | 1 | 0 |
ixartz/Next-JS-Landing-Page-Starter-Template | 2138 | 0 | 0 | 0 | 0 |
NextJSTemplates/startup-nextjs | 1679 | 0 | 0 | 0 | 0 |
agustinusnathaniel/nextarter-chakra | 838 | 0 | 0 | 0 | 0 |
zarazhangrui/frontend-slides | 29404 | 0 | 0 | 0 | 0 |
Honest limitations
- Static analysis. It reports patterns, and a pattern is a prompt to look, not proof of exploitability. Some flagged routes may be intentionally public.
- The corpus is popular, well-maintained repos — meaning these patterns persist even where maintainers are competent and the code is publicly visible. That is the point: the failure is in the default the framework or the generator hands you.
- 'Clean' means 'no findings from these rules', not 'secure'.
Raw per-repo JSON: results.jsonl. Reproduce with python3 scan_corpus.py.
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