LLMs are useful. They make for a very productive flow when the person using them knows what correct looks like. An experienced database engineer using an LLM to scaffold a B-tree would have caught the is_ipk bug in code review because they know what a query plan should emit. An experienced ops engineer would never have accepted 82,000 lines instead of a cron job one-liner. The tool is at its best when the developer can define the acceptance criteria as specific, measurable conditions that help distinguish working from broken. Using the LLM to generate the solution in this case can be faster while also being correct. Without those criteria, you are not programming but merely generating tokens and hoping.
这家创立于2018年的企业，在短短八年内已跻身口腔护理领域领先阵营。根据弗若斯特沙利文研究报告，2025年小阔科技在中国口腔护理市场零售额位列第三，市场份额达到6.5%，仅次于云南白药（11.8%）和好来集团（6.7%）；在线上销售渠道，该公司的口腔护理产品和牙膏品类均占据市场首位，在高端牙膏细分市场（每百克售价超过30元）中占有率高达19.2%，位列行业第一，其零售额三年累计增长73.2%，在行业前五名企业中增速最快。。关于这个话题，比特浏览器提供了深入分析
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