随着人工智能技术的飞速发展，编程领域正经历着一场前所未有的变革。据InfoQ报道，业界专家和学者就AI在编程中的应用前景进行了深入探讨。他们认为，尽管AI在短期内可能无法全面取代程序员的角色，但它确实有可能成为编程流程中的重要组成部分，尤其是在代码补全方面已经展现出巨大潜力。
在日前举行的InfoQ《极客有约》X AICon直播中，研发效能领域的专家路宁、杨萍和上海交通大学计算机科学与工程系副教授林云，就AI在编程中的应用进行了讨论。他们指出，AI在编程中的应用主要集中在辅助性工作，如代码补全，但要想达到革命性的标准，即带来数量级的效率提升，目前看来可能性不大。
路宁认为，尽管AI在减轻开发者负担和提高工作效率方面已经取得了一定的成果，但要达到革命性的标准，我们需要看到数量级的效率提升。杨萍则表示，AI在编程领域的革命具有长期潜力，但短期内可能会有波折，甚至可能被低估。林云则对AI的未来持更为乐观的态度，认为随着语言模型的发展，我们已经看到海量的人类知识可以被压缩并存储在模型中，这些模型不仅能够解压这些知识，还能在此基础上进行创新。
在即将于8月18-19日在上海举办的AICon全球人工智能开发与应用大会上，杨萍老师将带来专题分享，分享大模型的最新研究成果以及在不同行业的实际应用案例。林云老师也将带来关于《语言模型驱动的软件工具思考：可解释与可溯源》的精彩演讲。大会演讲议题已上线100%，更多精彩议题将在大会上解锁。
总体而言，AI在编程领域的应用前景广阔，但短期内可能面临挑战。随着技术的不断进步，AI有望在编程领域发挥更大的作用，但程序员仍将是责任主体，对使用的AI工具生成的代码负责。
英语如下：
News Title: “Ten Years of Programming Experience Depreciates by 50% as AI Arrives to Disrupt the Tech Industry Ecosystem”
Keywords: Depreciation, AI Development, Shuffle
News Content: As artificial intelligence technology develops at an unprecedented pace, the programming field is undergoing a transformation like never before. According to a report by InfoQ, industry experts and scholars have delved into the prospects of AI applications in programming. They believe that while AI may not be able to fully replace programmers in the short term, it certainly has the potential to become an integral part of the programming process, especially in areas such as code completion, where it has already shown significant potential.
During the InfoQ “Geek Hangout” X AICon live stream held recently, experts in the field of software development effectiveness, including Luining, Yang Ping, and Lin Yun, an associate professor from the Department of Computer Science and Engineering at Shanghai Jiao Tong University, discussed the application of AI in programming. They pointed out that the application of AI in programming is mainly focused on auxiliary tasks such as code completion, but to achieve a revolutionary standard, bringing about efficiency improvements on a scale of orders of magnitude, seems unlikely at present.
Luining believes that while AI has already achieved some results in relieving developers’ burdens and improving efficiency, to reach a revolutionary standard, we need to see efficiency improvements on a scale of orders of magnitude. Yang Ping, on the other hand, suggests that the revolution in the programming field by AI has long-term potential, but there may be setbacks in the short term, and it could be underestimated. Lin Yun takes a more optimistic view, believing that with the development of language models, we have seen vast amounts of human knowledge being compressed and stored in models, which not only can decompress this knowledge but also innovate on it.
At the AICon Global Summit on Artificial Intelligence Development and Applications to be held on August 18-19 in Shanghai, Yang Ping will deliver a special presentation on the latest research results of large models and practical application cases in various industries. Lin Yun will also give a fascinating talk on “Thinking about Software Tools Driven by Language Models: Explainable and Traceable.” All the topics for the conference are now online, and more exciting topics will be unveiled during the event.
In summary, the application prospects of AI in the programming field are vast, but there may be challenges in the short term. As technology continues to advance, AI is expected to play a greater role in the programming field, but programmers will still be the main responsible parties for the code generated by AI tools.
【来源】https://mp.weixin.qq.com/s/xGZwq9VbNfS5ZnBAFnPjow
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