🚨 Your AI-built SaaS works. Now try to break it.
One thing I’ve learned while building VibeSafe:
Getting an AI-built app to work is surprisingly easy.
Knowing whether it’s safe is much harder.
Before launching, I’d personally check these 7 things:
1. 🔑 Secrets
Search your entire codebase for API keys, tokens, passwords, and database credentials.
2. 🔐 Authentication
Try accessing protected pages without logging in.
3. 🗄️ Database access
Check whether a user can access another user's data by simply changing an ID.
4. 🌐 API endpoints
Look for endpoints that perform sensitive actions without proper authorization.
5. 📦 Dependencies
Check what packages the AI added. You might not know what you're actually shipping.
6. 🐛 Error messages
Production errors shouldn't expose stack traces, database details, or internal paths.
7. 🤖 Don't trust the AI's "done."
Ask another tool—or another person—to review the code from an attacker's perspective.
The interesting part?
A founder can spend weeks building features and still miss one tiny security mistake that takes an attacker seconds to find.
That's actually why we're building VibeSafe: to give indie hackers a security checkpoint between:
“AI built it” → “I'm ready to ship it.”
Curious what other founders do:
What's your security checklist before launching an AI-built SaaS?
Even if it's just one thing, share it below. I'd love to turn the answers into a practical indie-hacker security checklist.
Build fast. Ship safe.
Absolutely—great point! You’re right that an ID-swap check mainly validates read access. A missing authorization check on PATCH or DELETE could still leave a serious vulnerability unnoticed.
We’ll explore extending the check to test unauthorized update and delete attempts on another user’s resources. This would provide better coverage where the real risk is modifying or deleting data rather than simply viewing it.
Thanks for calling this out—feedback like this helps us make VibeSafe’s security checks more robust. 🙌
Great point. Cost abuse is an overlooked security risk for AI products. Rate limits, usage validation, credit checks, and spending caps should be part of every pre-launch security check. We’re exploring how VibeSafe can identify these risks too.
Exactly. “It works” is only the first test. With VibeSafe, we’re focused on what happens when someone actively tries to break the AI-built app.
That means probing prompt injection, exposed secrets, weak auth, unsafe APIs, latency, and cost-abuse scenarios — then using VibeSafe’s fix-and-rescan loop to remediate issues and immediately verify the fix actually holds.
Production readiness isn’t one scan. It’s finding the failure, fixing it, rescanning, and repeating until the app is genuinely harder to break.
Yes. VibeSafe works with private GitHub repos, Cursor, and CI/CD.
🔒 Private repos: Connect GitHub and scan private repositories.
🖥️ Cursor: Use the VibeSafe Cursor/VS Code extension or MCP to scan while you code.
⚙️ CI/CD: Run VibeSafe from the CLI or GitHub Action to scan automatically on pull requests.
The goal is to catch security issues where you already work, rather than making you move your code into another workflow.
And for sensitive code, we recommend using the appropriate privacy/security settings and permissions for your environment.