Is vibe coding bad for security?

It can be, if you ship AI output without review. Common issues include unsanitised inputs and leaked API keys. Treat AI output like a junior developer's PR — always review before deploying.

Can vibe-coded apps be used in production?

Yes. Many apps are live with paying customers. Build a feature, test it, review the code, then ship.

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Is Vibe Coding Bad? A Balanced Take for 2026

"Is vibe coding bad" is one of the most searched questions in developer communities right now — and the answer depends entirely on what you are trying to build. Critics point to security holes, untestable code, and architectural debt. Proponents point to finished products shipping faster than ever.

The case against vibe coding

Critics argue that vibe coding bypasses fundamentals — leading to messy architectures, hidden security vulnerabilities, and code that is impossible to maintain without the original AI context. Stack Overflow and Hacker News threads are full of horror stories from developers who inherited vibe-coded codebases.

The case for vibe coding

Proponents argue that vibe coding is a tool, not a replacement for thinking. When used correctly — with human review at every step, proper testing, and iterative refinement — it produces real software that solves real problems. The proof is in the thousands of vibe-coded B2B apps already being used in production.

When it goes wrong

Vibe coding goes wrong when developers treat AI output as ground truth. Common failure modes:

→SQL injection from unsanitised inputs
→Hardcoded secrets committed to git
→Unoptimised database queries that work locally and kill performance at scale
→No tests, so regressions go unnoticed until production

When it works

Vibe coding works best for greenfield projects, internal tools, MVPs, and solo-founder SaaS. The apps in this directory were all built by non-traditional developers — and real businesses are paying to use them.