AI builders make it wonderfully easy to get from idea to demo. Lovable can give you a SaaS-looking app in an afternoon. Bolt can wire together a prototype fast enough that your roadmap starts to feel slow. Cursor, Claude, Codex, Replit, and v0 all make the same thing possible in different ways: more product gets shipped by people who did not spend a week reading the codebase first.
That is mostly good. The uncomfortable part is that apps can now reach real users before anyone has done the boring launch hygiene.
Not a dramatic security audit. Not a month-long penetration test. Just the small checks that catch problems before your first strangers arrive.
Start with the part automation can actually check safely:
npx taskbounty-check@latest .
The TaskBounty CLI checks GitHub Actions and update-automation hygiene locally. It looks for things like broad workflow token permissions, movable third-party action references, and missing Dependabot or Renovate setup.
By default, it uses no network. It writes a local report. It does not upload your source code or workflow contents.
The honest boundary: this is not a full app security audit. It checks CI and workflow hygiene. It does not prove your auth, payments, webhooks, or runtime behavior are safe.
Before launch, also check:
- Secrets are not in the browser.
- Privileged routes have server-side authorization.
- Public endpoints have abuse limits.
- Webhook handlers verify provider signatures.
- Dependency updates are handled by Dependabot or Renovate.
I wrote the full checklist here:
https://www.task-bounty.com/blog/pre-launch-security-checklist-ai-built-apps
And the free local check starts here:
https://www.task-bounty.com/ai-app-security-check
I am especially interested in feedback on the boundary: what is useful to automate locally without making overbroad security claims?
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