As AI makes code easier to produce, the strongest engineering leaders are teaching teams to protect the codebase from unnecessary complexity.

There’s a consistent pattern in failed or underperforming AI initiatives. Business leaders tend to frame AI through the lens of what they see as the most urgent problems—bottlenecks in productivity, ...

When code is generated faster, quality, security and maintenance issues can also move through the pipeline more quickly, so teams should track sustainable progress.