When Code Gets Cheap, Understanding Gets Expensive

As AI dramatically reduces code creation costs, developers face a new challenge: understanding AI-generated code has become harder and more critical. Unlike deterministic compiler output, LLM-generated code can be produced far faster than humans can comprehend it, creating a dangerous knowledge gap. This shift demands a more cautious, incremental approach to AI adoption to prevent automation from spiraling beyond human control.