chapter one

1 Building on quicksand: the challenges of vibe engineering

 

This chapter covers

  • Documented failures of undisciplined vibe coding
  • Hidden costs of unverified AI-generated code
  • Building mental models for code ownership
  • Treating executable specs as verification contracts

AI-assisted development, right now, runs like an early-stage R&D lab. Developers iterate fast, guided by intuition and an elusive "vibe," turning a raw idea into working software over an afternoon. The value is real: you reach product-market fit sooner, and you find out what you did not know about the problem while being wrong is still cheap

But, rapid experimentation without engineering discipline has a dark side. Vibe Coding, generating apps at lightning speed, but without professional rigor or security awareness, creates an illusion of progress that often fails miserably. Real-world failures, from startups being hacked within days of launch to AI commands deleting entire projects, are painful lessons in the danger of trusting AI-generated code without deep verification. Shipping AI-generated code without this verification accumulates an invisible, long-term cost of shipping code that no one on the team truly understands or owns. Projects are built quickly and become unmaintainable almost as quickly.

1.1 Illusion of speed or “vibe over engineering”

1.1.1 A startup hacked within days of launch

1.1.2 A command that erased an entire project

1.1.3 A pull request that turned into a trojan

1.1.4 An agent that decided to “clean up” production data

1.2 The end of scale worship: diminishing returns

1.3 Two faces of the vibe: coding vs engineering

1.4 Trust: a new kind of debt

1.4.1 From intelligent autocompletion to a partner

1.5 The vibe engineering loop in practice

1.6 Owning - where judgment begins

1.7 The beginning of “software engineering”

1.8 Summary