If you mostly use chatbots and you are trying not to fall behind, this is the part worth stopping for. The easy takeaway is that AI replaced Stack Overflow. The more useful one is harsher: "What AI did to stackoverflow in a graph" [C001] was not kill the need for Stack Overflow. It turned the site from a starting point into a place people reopen after an AI answer looks right, sounds sure, and still fails.
That is why the 35% matters. In Stack Overflow's 2025 survey, about 35% of developers said they at least sometimes return because AI or AI-enhanced tools created a problem they need to fix, understand, or debug. Survey scope only. This is not a majority claim, and it is not proof of all developer behavior. It is enough to show a role shift.
If AI gives more people the first draft, the valuable part moves downstream. The scarce thing is no longer just the answer. It is the repair path: where it breaks, why it breaks, and what to try next. That is why Stack Overflow now looks less like the front door and more like the error ER for AI-generated code. Stack Overflow became AI's error ER. [C002]
So if you use AI to code, keep the messy notes, not just the clean demo: the wrong output, the strange failure, the fix that finally worked. A product update is worth your attention not because of how many features it lists, but because it changes your next decision. Share this with someone still tracking AI through polished demos instead of failure cases.