The modernization makes sense but @santoshkumarraises the key question - Stack Overflow's value was always the community vetting and upvoting system that filtered out bad answers. How does the AI handle edge cases or newer frameworks where the training data might be limited? Traditional Stack Overflow often had the most current solutions because developers were posting about bleeding-edge problems in real time. Also curious about the community integration aspect. Does it encourage users to contribute back to the actual Stack Overflow when they find gaps in the AI responses?