The Digital Press

AI is increasingly capable of writing working code, but this shift risks lowering programmer expertise and causing long-term stagnation in software quality and innovation.

Why it matters: Relying on AI-generated code may reduce programmers' deep understanding and problem-solving skills over time.

The stakes: Software could become less secure, less performant, and more prone to bugs due to superficial trust in AI outputs.

The big picture: As AI usage grows, programming might shift from craftsmanship to just producing "good enough" code, risking intellectual stagnation.

Commenters say: Many echo concerns about over-trusting AI, stressing the difference between code that "appears to work" versus truly reliable, well-tested software.