VibeGuard

Catch design flaws in AI-generated code for non-programmers

Problem

A developer with coding experience watched a non-programmer friend try to vibe-code a product. The friend struggled with Python syntax and Git, then shifted to workflow design. The root issue: AI writes code fast but misses general abstractions, and non-programmers can't spot code that will cause problems later. Another poster jokes about building a vibe-coded app for zero users.

Solution

A lightweight review assistant that scans AI-generated code for common anti-patterns (hardcoding, duplicated logic, swallowed exceptions) and explains in plain language why each will hurt later, with concrete refactor suggestions. It also logs each AI change for easy rollback and comparison.

Users

Non-technical founders, PMs, and designers building side projects with Cursor or Claude Code

MVP

Only detect and explain anti-patterns in AI output; produce before/after cards; write advice in non-dev language; browser or VS Code extension; no Git knowledge required

Revenue

Monthly subscription; free tier scans limited files, paid unlocks full-project scan and fix history

Why now

Vibe coding is bringing a wave of non-programmers into development, but tooling still assumes you can code — there's a missing translation layer