I scanned my vibe-coded SaaS with every tool I could find. Here's what they all missed.

I build fast. Like most founders using Bolt, Lovable, and Cursor - I ship first and think later. Last month I pushed 40+ commits to my SaaS. I had no idea what was actually breaking with each one. ...

By · · 1 min read
I scanned my vibe-coded SaaS with every tool I could find. Here's what they all missed.

Source: DEV Community

I build fast. Like most founders using Bolt, Lovable, and Cursor - I ship first and think later. Last month I pushed 40+ commits to my SaaS. I had no idea what was actually breaking with each one. Not until I built something to tell me. The problem with vibe coding at speed When you're prompting an AI to build your app, you're not reading every line it writes. Nobody is. That's the point. But here's what happens in practice: Commit 1: AI adds auth. Looks fine. Commit 7: AI refactors a helper. Accidentally exposes an API route. Commit 23: AI installs a package. It has 3 known CVEs. Commit 31: AI adds logging. Now you're logging user emails to console. You don't see any of this. Your users might. What I tried first I ran my app through the usual suspects: Lighthouse - Told me my performance score. Useful, but it's a snapshot. Doesn't tell me what commit caused the regression. Snyk - Great for dependency CVEs. Misses everything else. GitHub Dependabot - Only catches known CVE packages. Si

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