[Despite my reservations about AI,] I would be interested in exploring LLMs for code review. Some Linux kernel folks apparently had good success on having LLM agents assist in review using very project-specific, carefully crafted prompts. Obviously this cannot replace human code review and approval, but if done well it could still help make reviewers more effective. It seems worth a try. However, we should be careful not to get into a situation where we have an unhealthy dependency on LLMs to keep the project running. I hear some of the open-weight models are getting fairly close to the big proprietary ones; using a self-hosted instance of those could alleviate some of the aforementioned concerns.
文化建设方面，围绕推进文化自信自强、繁荣文化事业、发展文化产业、提升中华文化影响力等提出提案600余件。坚持以习近平新时代中国特色社会主义思想凝心铸魂、弘扬社会主义核心价值观、创新实施马克思主义理论研究和建设工程等提案，助力推动党的创新理论武装在基层走深走实。推进优质文化资源直达基层、推动文化遗产系统性保护和统一监管等提案，相关部门在颁布公共文化服务提质增效有关文件时充分吸纳。推动文旅深度融合、加强赛事经济培育、加大入境游推广等提案，为激发文化和旅游消费活力持续赋能。加强主流思想文化舆论阵地建设、运用融媒体构建文化传播新模式、加强海外华文教育等提案，为提升中华文明传播力影响力发挥积极作用。，更多细节参见QuickQ下载
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It’s used in a lot of places that don’t make a lot of noise about it (some might surprise you), and there are still plenty of big established names like Shopify, Soundcloud and Basecamp running on Rails. Oh and GitHub, although I’m not sure we should shout about that anymore… But. While the Stack Overflow survey isn’t necessarily an accurate barometer of developer opinion, the positions of Ruby and Rails do show it’s fallen from grace in recent times. Anecdotally, I find a lot of documentation or guides that haven’t been updated for several years and the same goes for a lot of gems, plugins and other projects. Banners like this are becoming more and more common:。关于这个话题，博客提供了深入分析
Some of the units I've seen up close were asleep, with the robotic eye gently nodding, as if it were breathing. One was tracking the crowd and answering questions, responding either with a nod or a shake.