Validating an idea before you've raised money or hired anyone, internal tools where the worst case is mild annoyance rather than data loss, demos and pitch decks, and learning or experimentation.
AI-generated code optimizes for "looks like it works" — it rarely includes proper error handling, input validation, rate limiting, or security hardening unless explicitly prompted for each one individually. Common issues in vibe-coded apps that reach production: no input sanitization leading to SQL injection and XSS vulnerabilities, missing auth checks on API routes that look protected but aren't, no error handling for third-party API failures causing silent data loss, database queries that work at 10 users and fall over at 1,000, and secrets or API keys committed directly into the codebase. None of these show up in a demo — they show up the first time something goes wrong at scale or someone tries to attack it.
It's "don't ship vibe-coded apps to production without a developer review." Many successful products started as a vibe-coded prototype that a real engineering team then hardened — fixed the security holes, added tests, optimized the slow queries, and set up proper monitoring. That's a completely reasonable path. Skipping that step is the risk.
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