But the real pattern is more disturbing. Our research found:

• AI-generated code contains 322% more security vulnerabilities
• 45% of all AI-generated code has exploitable flaws
• Junior developers using AI cause damage 4x faster than without it
• 70% of hiring managers trust AI output more than junior developer code

The physics of software collapse:

• Modern software is built on towers of abstractions, each one making development "easier" while adding overhead. Each layer adds only 20-30% but it compounds a handful and the overhead becomes 2-6x for the same behavior.
• Energy is not infinite
• More money goes to infrastructure to support the grow. GAFAM are spending 30% of revenue on infrastructure (historically 12.5%).
• Senior developers won't exists if one can never be junior for a start

Shifting the priorities:

• when is a calculator leaking 32GB normal?
• why do we trust AI-generated code more than junior developers?
• how many abstraction layers are actually necessary?
• what happens when we can't buy our way out anymore?

The author describes a path forward and describe each points:

• Accept that quality matters more than velocity.
• Measure actual resource usage, not features shipped.
• Make efficiency a promotion criterion.
• Stop hiding behind abstractions.
• Tech fundamental engineering principales again.