What nobody tells you about building with AI (from someone shipping fast):
Over the past weeks, I kept seeing the same pattern:
Apps exposing secrets without the “builder” writing real code
Databases left open, no exploit needed
Projects that pass tests, CI, reviews… yet are trivially breakable
Everything works.
Nothing is safe.
That’s the gap.
We’ve optimized everything for speed:
AI writes the code
CI catches build errors
Tests catch regressions
Observability catches crashes
But one question is missing:
“What can an attacker actually do with this right now?”
And honestly, most indie builders (myself included at first) don’t think this way.
Because:
PR reviews miss auth edge cases
Unit tests don’t simulate abuse
Staging ≠ real adversarial environment
Business logic flaws look completely fine… until someone abuses them
AI makes this worse.
It gives you clean-looking code, fast but no guarantee it’s safe.
So I started building something for myself:
A tool that looks at your app like an attacker would:
Crawls your running app (not just code)
Maps real attack surface
Tries abuse paths dynamically
Returns findings with proof (not guesses)
Suggests fixes you can actually apply
Not another static scanner.
Not another “best practices” checklist.
Something you run before shipping and ask:
“Am I about to get wrecked?”
If you’re an indie hacker shipping fast with AI, you probably have this blind spot too.
I’m sharing the build in public here:
https://x.com/ARCADArun
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