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Stack Overflow code quality varies significantly across US states, with major tech hubs surprisingly not producing the highest quality code.
LLMs can spot design patterns in code with surprising accuracy, potentially automating crucial software understanding tasks.
Forget standalone ethics modules – embedding empathy directly into core software engineering tasks is key to building responsible AI.
Overlooked no more: practical strategies can make software engineering conferences far more accessible to researchers in remote regions like New Zealand.
Stack Overflow users in the US are more motivated by self-promotion, while those in China focus on learning, revealing critical cultural nuances in online knowledge-sharing that LLMs may not capture.