AI amplifies the judgement already present in an organisation; it does not supply the judgement that is missing. Clean code is not prettiness - it is the structure that lets a competent human understand the problem. In the AI era, it is the steering wheel.
Testing can never feasibly deliver failure rate statistics that an international standard like ISO 262262 demands. This article explains why, why it is still necessary, and why collecting data must not end in the lab.
LLMs break software’s binary view of correctness. The discipline that replaces it already exists - it was built at Bell Labs, refined in Nagoya, and has been waiting for software to need it.
A watershed-moment essay on why AI amplifies, rather than creates, software quality - and why the responsibility rests with those who own the system.