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Building a SaaS with AI

You’re building a SaaS product using AI agents — Claude Code writes your API, Cursor builds your frontend, and you’re shipping features daily. This is the fastest way to build software in 2026. It’s also the fastest way to ship security vulnerabilities.

What goes wrong

When you tell your AI agent “build me a Stripe integration,” it generates working code. But it also:

Hardcodes your Stripe secret key directly in the source file
Stores JWT secrets as string literals instead of environment variables
Writes SQL queries with string concatenation instead of parameterized queries
Sets CORS to * so your API accepts requests from any website
Leaves debug endpoints like /admin or /debug without authentication
Binds databases to 0.0.0.0 in Docker Compose

The VibSec workflow for SaaS builders

1. After each feature

vibsec scan

Every time your AI agent completes a feature (auth, payments, API routes), run a scan. Fix issues while the context is fresh — it takes 30 seconds.

2. Before deployment

vibsec scan --severity critical,high

Only allow deployment if there are no critical or high severity findings. Add this to your CI/CD pipeline or deployment script.

3. Auto-fix everything

vibsec scan --fix

Copy the output and paste it into your AI agent. It will move secrets to env vars, parameterize SQL queries, tighten CORS, and add auth middleware — automatically.

What VibSec catches in a typical SaaS

Check	Severity	Example
Hardcoded API keys	Critical	`sk_live_abc123` in source
SQL injection	Critical	`SELECT * FROM users WHERE id = ${id}`
Missing auth	High	`/admin` route with no middleware
Wildcard CORS	High	`Access-Control-Allow-Origin: *`
Exposed database	High	MySQL on 0.0.0.0:3306
Insecure cookies	Medium	Session cookie without HttpOnly
Unpinned deps	Medium	`"express": "*"` in package.json

Real talk

You don’t need to be a security expert. You need to run one command after your AI agent finishes. VibSec catches what the AI missed, and your AI agent fixes it. Ship fast, ship secure.