We are having trouble onboarding engineers with AI now. Some still struggle after their first year with very basic concepts/patterns we use and make the same mistakes again and again in their PRs because they just ask Claude to fix it and never internalize it. I think using LLMs feels good at first because you can get tickets out the door faster but you never develop enough knowledge to make a big impact or become an expert in the code or business.
Honestly you should probably invest in baking the basic patterns and concepts of your codebase into shared skills that are applied to everyone's Claude sessions.
These would have been good hires before AI but now they struggle?