In a future where AI writes code, frameworks and shared knowledge lose value; bespoke systems and dependency security become critical concerns.

Standard frameworks and technology stacks matter less when AI generates code, since the traditional benefits—consistent structure, shared team knowledge, and hiring based on prior experience—no longer apply to AI systems.

AI-generated bespoke routing, data stores, and ORMs (object-relational mappers) may become preferable to reusable frameworks, avoiding distraction with generic tooling.

Poisoned dependencies represent a vastly larger problem in a decade when AI produces dependencies at scale, since humans already struggle to police dependencies created and curated by humans today.