AI coding assistants have taken over much of the repetitive, boilerplate work that used to occupy junior developers' early years on the job.
What's Changing
- Less time spent writing routine code, more time reviewing and debugging AI-generated suggestions
- Greater emphasis on understanding *why* code works, not just being able to produce it
- Faster expectations for shipping features, since drafting code takes less time
A New Skill Gap
Some engineering managers report that newer developers can produce code quickly but sometimes struggle to explain or debug it deeply - a skill that used to develop naturally through manual practice.
Adapting Training
Some companies are now deliberately assigning debugging-focused exercises to build the deeper understanding that AI assistance can otherwise skip past.