This really resonates, especially the part about starting with authentication first. I made the same mistake early on, diving straight into endpoints and wasting hours on errors that were actually auth-related. Also agree on error codes being underrated. Once you start treating them as guidance instead of obstacles, debugging becomes much more manageable. API docs definitely feel overwhelming at first, but like you said, patterns start to emerge. After a while, you almost “read between the lines” of different APIs much faster.

Great insight, I completely agree that the shift toward AI-native products is becoming more obvious. Simply adding AI features feels superficial if it doesn’t truly integrate into the core workflow. What stands out to me is how users are no longer impressed by the presence of AI itself, but by how seamlessly it improves efficiency and reduces friction. The real value comes when AI becomes invisible just a natural part of getting things done. Curious to see how many companies can actually make that transition, since it requires rethinking products from the ground up, not just layering AI on top.