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AI is fundamentally rewriting age-old codes and reshaping how systems are designed, tested, and trusted. At a massive scale, traditional engineering assumptions are breaking down, and nowhere is this more evident than in testing. 

Writing unit tests has increasingly been delegated to AI tools like GitHub Copilot and ChatGPT, offering developers a much-needed sense of respite by reducing repetitive effort and speeding up test creation.

This shift is structural, and it has sweeping implications for engineering talent, infrastructure design, and how the next generation of technologists must be trained.

Venkat Pullela, CTO, networking at Keysight Technologies, mentions in a conversation with AIM, “With AI, people are forced to do system testing. You cannot do unit testing anymore.”

However, the larger question is why unit testing is no longer enough.

For decades, engineering excellence was measured by how well individual components performed in isolation. Unit