AI App Security Guide for Indie Developers and Founders

You built your SaaS with AI code generation. It shipped fast. But you've never shipped with security vulnerabilities this specific before.

AI-generated code breaks differently than hand-written code. The same patterns that make AI tools productive-speed, pattern-matching, convenience-create blind spots where attackers slip through.

This field guide walks you through the security mistakes indie founders and developers make when shipping AI-assisted apps: hardcoded secrets in generated functions, misconfigured row-level security policies that expose user data, dependency confusion attacks from AI hallucinations, and more. Each chapter pairs the vulnerability with the fix.

What's Inside:

• The structural weaknesses unique to vibe-coded apps and why traditional security checklists miss them
• Hardcoded secrets: where they hide in AI output, how attackers find them, and the automated catch patterns that work
• Row-level security pitfalls in Supabase, Firebase, and similar backends-silent data exposure without an error message
• Slopsquatting and package hallucination: how AI tools invent dependencies and how to audit your node_modules before deploy
• Environment variable protocols that survive code review and hand-off to team members
• Pre-launch audit checklist: the 15 checks you run on your codebase before shipping
• CLAUDE.md template: copy-paste instruction set for your AI tools to generate security-first code
• Real attack scenarios and remediation workflows (no fake testimonials; just outcomes)

The guide is structured for fast lookup. You can read straight through or jump to the vulnerability that keeps you awake at night.

You'll get a Markdown file (readable in any editor), a plain-text checklist, and a reusable Claude.md template you copy into your project root before your next AI-assisted feature.

Target audience: indie founders shipping fast, solopreneurs building SaaS with AI code generation, and junior developers who inherited AI-generated codebases and need to secure them quickly.

No prerequisites. No fluff. Just the specific behaviors that turn AI productivity into production risk, and the concrete steps to fix them.

About this product

NeuraGrowth is an AI-assisted, human-curated digital studio made in Poland. Concept, structure, and final pass on every product are human-directed. Drafting, layout, illustration, and image rendering use generative AI tools (Claude by Anthropic, Stability AI, Ideogram, DALL-E, Gemini, and FLUX), selected per task for the best output. We don't auto-publish. Every file passes hands-on review before it goes live.