Vibe-Coded App Anti-Pattern Checklist with Anjali

AI coding tools ship apps that run in a demo and fail a real attack. In a scan of 1,400 vibe-coded apps, most had at least one critical vulnerability, and broken access control showed up almost everywhere.

This checklist covers only security anti-patterns caused by AI coding tools.

What is inside:

• 100+ checks across 10 categories: database exposure, login and access, secrets, dependencies, web attacks, sessions and tokens, connected services, AI agent risk, access control, and configuration
• For every issue: why AI produces it, the exact signal to look for, and the fix
• A plain-English glossary (IDOR, SSRF, XSS, mass assignment, and more) so anyone on the team can follow
• A "Priority Checks" run order for the highest-return tests first
• A must-fix list that blocks launch
• A remediation summary a non-technical founder can hand to whoever maintains the app
• Every point backed by a real incident, a CVE, or published research
• Interactive, tick-off checkboxes and clickable source links

Who it is for: founders, indie hackers, and teams shipping AI-built apps, plus anyone auditing an inherited vibe-coded codebase.

Format: downloadable PDF, 14 pages, ready to use today.

Disclaimer and Refund Policy

• This is a digital product with instant access. No returns or refunds are available once the purchase is completed.
• This guide is provided for informational purposes only. No guarantees or warranties are provided. Employer or employee not responsible.
• Users are solely responsible for validating the information and performing their own technical and commercial due diligence.
• Product, platform, and tool names are referenced for context and scope only. The issues described arise from generated code, prompts, and configuration choices, not from a defect in any named product. All trademarks belong to their respective owners.