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🚨 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.

VibeSafe

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Vibe Safe
  1. 1
    Does it work with private repos / Cursor / CI?
    1. 1

      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.