The Rise and Fall of Vibe Coding | Tomasz Tunguz

The fundamental problem lies in misaligned capabilities and understanding. AI generates working code fast but cannot instill architectural thinking or testing discipline.

Users gain false competency. They produce working software without grasping underlying complexity or long-term implications.

Engineering best practices must become as accessible as AI coding tools. Security improvements and test generation should happen in natural language.

The future involves hybrid workflows. “Vibe coders” prototype solutions while engineers harden successful experiments.