Cursor app compliance checklist — what AI-IDE projects ship by default
Unlike Lovable or Bolt, Cursor doesn't generate apps from a single prompt — it edits a real codebase, file by file, on your filesystem. That means more dev control, more variation in output, and a different failure profile. Most Cursor projects look professional. Most also ship with two or three of these issues hiding in plain sight.
What Cursor projects tend to look like
Cursor's strength is its edit-mode flexibility. Compared to Lovable / Bolt, a typical Cursor codebase is:
- Next.js or Vite + React (rarely Remix, sometimes SvelteKit)
- pnpm or npm with full package.json control
- Custom auth (NextAuth, Clerk, Supabase) instead of platform-bundled defaults
- Backend routes the developer wrote, often with inconsistent auth checks
- Pushed to GitHub from the start, with normal commit history
The compliance issues are subtler than Lovable's — but for that exact reason, harder to catch in a one-time review. The patterns below show up in roughly 60% of production Cursor apps we scan.
The 7 things to check on a Cursor app
1. Inconsistent auth checks on API routes
Cursor's apply-edits behavior means some routes get auth, some don't — depending on which files were open when you prompted. The classic failure: `app/api/admin/*` has auth, but `app/api/internal/*` doesn't, because the AI thought "internal" meant trusted. Audit every API route for an auth check on entry.
2. Form labels lost in refactor
Cursor's reformat-on-edit behavior sometimes strips `<label>` elements when it converts JSX styles or extracts a component. Always re-scan after a significant refactor; what was compliant Tuesday may not be Wednesday.
3. Mixed-license dependency tree
pnpm + AI-suggested packages = a higher chance of one transitive AGPL or GPL package slipping in. Run `npx license-checker --production --summary` monthly. If anything reports AGPL-3.0 or GPL-3.0 you have a decision to make.
Related: What happens if your AI-built app uses AGPL code →4. AI-suggested code with embedded copyleft snippets
Cursor's tab completions sometimes reproduce GPL-licensed snippets verbatim from training data. The completion doesn't include a license header. A dependency-tree scan won't catch this — only a bundle fingerprint scan will. This is where Doe v. GitHub is still being litigated; the safe move is to scan and remediate regardless.
Related: Does Copilot own your code? (and the AI authorship question) →5. Env vars accidentally exposed
Cursor will "helpfully" add a `NEXT_PUBLIC_` prefix when an env var is referenced client-side and the build fails. The fix it applies — make the secret public — is wrong. Grep your code for `NEXT_PUBLIC_` env names that look like secrets (`*_KEY`, `*_SECRET`, `*_TOKEN`). Move the calling code server-side.
6. AI-generated docs that overclaim
Cursor's `@docs` feature can pull auto-generated README content into your repo. If that content makes legal claims about your app ("GDPR-compliant", "HIPAA-ready", "SOC 2 Type II"), and you haven't actually verified those claims, you've created false-advertising exposure. Audit every claim in your published documentation.
7. Commit history reveals authorship pattern
`git blame` on a heavily-AI-generated repo can be useful ("look how iteratively this was developed") or harmful ("99% of this was written by Cursor in one session") depending on context. Be deliberate about commit hygiene: small commits with descriptive messages, even when most of the code came from the AI, support a stronger copyright claim at acquisition.
Related: Acquisition diligence checklist — what acquirers check on AI code →How to fix all of these
Cursor's strength is also its trap: the codebase has more depth than a Lovable app, so manual review takes longer. Run Comply Code on your deployed URL for the runtime checks (items 1, 2, 5). Run a local audit for the code-level items (3, 4, 6, 7). Use Cursor's own AI to apply the fixes — paste each fix prompt from the report directly into the @inline panel and let Cursor make the edits, then re-scan.
Open the dedicated Cursor scan flow →Common questions.
Are Cursor projects more compliant than Lovable apps?
Marginally, because dev control is higher. But the failure modes are different — subtler, harder to spot in a casual review. We see fewer obvious issues (placeholder-only forms, GA4 on load) and more subtle ones (one unprotected API route, one over-prefixed env var).
Does Cursor's privacy mode help with compliance?
No. Cursor's privacy mode is about whether your code trains the model — that's a vendor-side IP question. It doesn't affect the compliance posture of the app you ship.
Should I use Cursor for enterprise compliance work?
Cursor's enterprise tier handles vendor-side concerns (SOC 2, your code not training the model, SSO). That's separate from the question of whether the apps you build with Cursor are themselves compliant — which is what the checklist above is about.