Developer upskilling is how engineers grow — deepening their grasp of languages, systems, and domains over time. Traditionally much of it happened implicitly: you learned by writing code, reading reviews, and debugging your own mistakes.
AI-assisted development disrupts that implicit path. When a model writes the code and fixes the bug, the struggle that used to produce learning can be skipped entirely. Teams can become more productive while their engineers, paradoxically, learn less from day-to-day work.
Intentional upskilling closes that loop: turning AI-assisted sessions into learning moments through evidence-linked explanations and short comprehension checks, so understanding compounds instead of eroding. The aim is engineers who are more capable because of their AI tools, not more dependent on them.