SECURITY RESOURCES FOR VIBE CODERS | VIBEEVAL

Why Security Matters

AI-generated code reproduces the patterns from training data — including the insecure defaults: tables without RLS, routes without auth, secrets in the bundle, no rate limit on the login endpoint. The vulnerabilities are well-known; what’s new is that they ship at scale because the same model produces the same defaults across thousands of apps. Protecting your users (and your billing card from a runaway scraper) takes a small set of tools and a habit of running them after every deploy.

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Security Best Practices

Enable two-factor authentication

Protect your accounts and services with 2FA — your GitHub, your Supabase / Vercel / hosting provider, your domain registrar, your email. The auth-token-leakage incident shape is “developer fell for phishing, attacker logged in with the password, no 2FA stopped them.” 2FA breaks the chain. Use a TOTP app or hardware key over SMS, which is interceptable.

Train your team on phishing

Human error is a leading cause of breaches. Send a fake-phishing simulation quarterly to your team — half of “trained” employees still click. The learning sticks better from experience than from a slide deck. For solo founders, the equivalent is reviewing every “verify your account” email by hovering the link first.

Scan for vulnerabilities regularly

Automated scanning catches what review misses. The free self-audit suite covers the top five categories in AI-built apps; run after every deploy. The Vibe Code Scanner covers the AI-specific deploy patterns. Schedule both as a CI step so regression is caught in minutes, not after a user complaint.

Keep dependencies updated

Outdated packages contain known CVEs. Enable Dependabot (GitHub) or Renovate, run npm audit / pip-audit in CI, fail builds on CVSS ≥ 7. The Package Hallucination Scanner catches the AI-specific subset where AI suggested a package that doesn’t exist or is now squatted by an attacker.

Rotate secrets after exposure

Any secret that has been in client-side code, a public repo, a screenshot in a support ticket, a Slack DM, or a build log is exposed — assume the attacker already has it. Rotation is the only mitigation that closes the window; deletion from the source is the second step. Build a runbook: which keys exist, where they live, how to rotate each. Test the runbook before you need it.

Lock down dashboard access

Your Supabase / Firebase / Vercel / Stripe dashboards are the highest-value targets — one compromised dashboard is worse than one compromised app. Enable SSO where available, require 2FA, restrict to known IPs where possible, and review the member list quarterly. Ex-employees with leftover dashboard access are the most common insider-threat shape.

Plan for incidents before they happen

Write a one-page incident runbook: how do you find out (alerts), who decides (you), what do you do first (rotate keys, take down compromised endpoints, capture logs), how do you tell users (template ready). The plan won’t be perfect; having one is the difference between a 4-hour and a 4-day response.

Related Resources

Free Self-Audit Suite

Five free scanners covering the top failure modes in AI-built apps.

Vibe Coding Security Risk Guide

Full risk catalogue — every category we see in AI-generated code.

Solo Founder Pre-Launch Checklist

12 checks before accepting your first paying user.

Why Gapbench

The reproducible-scenario approach behind every pattern article on this site.

Automate Your Security Checks

Let VibeEval scan your application for vulnerabilities and generate a comprehensive security report. Every finding ships with a fix prompt you can paste into your AI editor for one-shot remediation.