Three myths of vibe coding that break down in production

▤ Summary

The article argues that several myths about vibe coding break down once software moves into production. It shows that AI-assisted coding can speed up MVP work, but production-ready systems still need engineering discipline, reviews, and integration work. The discussion highlights real constraints such as security, maintainability, debugging, and the limits of relying on AI tools alone. It also suggests that teams may still use AI coding tools, but they must pair them with stronger architecture and validation processes.

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