Core Viewpoint - Major tech companies are increasingly restricting the use of third-party AI programming tools to enhance code and data security, even at the cost of development efficiency [1][4][13]. Group 1: Company Actions - Kuaishou has tightened the usage rights of several third-party programming tools, leading to significant disruptions in development efficiency for engineers who relied on AI tools like Cursor [1]. - ByteDance was one of the first companies to implement systematic measures, announcing a ban on third-party AI programming software to prevent potential data leakage risks [5]. - Microsoft has also prohibited the use of unapproved AI services, emphasizing the importance of protecting intellectual property and customer trust [5]. - Amazon has directed engineers to prioritize the use of its in-house AI coding tool, Kiro, while discontinuing support for new third-party AI development tools [6]. Group 2: Industry Trends - The trend of restricting third-party AI tools reflects a broader industry shift towards prioritizing data sovereignty and security over short-term efficiency gains [4][13]. - Many tech giants are adopting internal AI tools to maintain control over their code, marking a significant change in the development landscape where "code is an asset" [4][6]. - The historical context shows that concerns over code and data security have existed long before the AI era, with companies implementing protective measures against potential data leaks [2][3]. Group 3: Employee Perspectives - Employees express frustration over the inefficiency of internal AI tools compared to their external counterparts, highlighting a significant drop in productivity [7][8]. - There is a growing sentiment among engineers that the pursuit of absolute security may hinder innovation and lead to missed opportunities for productivity improvements [7][12]. - A humorous take among programmers reveals their dissatisfaction with internal tools, indicating a struggle to adapt to less effective alternatives [9][12].