User Content Checklist for AI-Built Apps
Comments, reviews, social features
When you vibe code user content with tools like Cursor, Lovable, Bolt, v0, or Claude Code, the generated code often works in development but misses critical production requirements. This checklist helps you catch what AI missed before you ship.
Danger Zone
moderate riskLetting users post things means someone will eventually post something you wish they hadn't
A comment box looks simple. Behind it is a sprawling web of questions: who can see what, how to stop spam without blocking real people, what to do when someone posts something illegal or abusive, how to handle deleted comments that other comments replied to, and whether notifications about replies are going to spam your users. Every feature you add (reactions, threading, mentions) multiplies the edge cases.
Common mistakes
- No limit on how fast someone can post (so bots flood your app with spam)
- Deleted content disappears completely (breaking threads and losing evidence of abuse)
- User-uploaded images aren't checked for file type or size (so someone uploads a 50MB executable disguised as a JPEG)
- No way to find and remove all content from a banned user at once
- Notification emails sent immediately for every action (overwhelming users and triggering spam filters)
Time to break: 2-6 months before moderation becomes a daily time sink
How are you building this?
Showing what to check when using a managed service
Audit Prompts
Copy these into your AI coding assistant to check your implementation.
Checklist
0/10 completed
Smart Move
It dependsBasic user content (like comments on your own posts) is reasonable to build yourself. But if you're adding reactions, threading, real-time updates, or full social features (feeds, follows, mentions), the complexity explodes fast. And moderation is always harder than you think.