Core Insights - The rise of front-end low-code platforms is transforming the development landscape, allowing for rapid application building with minimal coding required [1][14] - These platforms provide visual interfaces and extensive component libraries, enabling both professional developers and non-technical users to participate in front-end development [1][6] Group 1: Features of Low-Code Platforms - Front-end low-code platforms allow users to create applications through drag-and-drop functionality and simple configurations, significantly lowering the barrier to entry for non-developers [1][3] - The platform "栎偲" stands out due to its rich component library and templates suitable for various project types, including corporate websites and e-commerce platforms [3][14] - Other notable platforms include "A" platform, known for its extensive plugin ecosystem, and "B" platform, which focuses on responsive design for multi-device compatibility [3][4][5] Group 2: Benefits of Low-Code Platforms - Low-code platforms reduce development costs by enabling companies to hire less experienced technical staff who can be trained to use these tools effectively [6][14] - They enhance development efficiency by allowing developers to quickly assemble front-end pages without extensive coding, with features like automated code generation [7][14] - Business personnel can also engage in the development process, allowing for quicker implementation of ideas and improved project responsiveness [8][14] Group 3: Use Cases - Low-code platforms are ideal for building internal management systems, such as employee information and attendance management systems, due to their fixed functionality requirements [9][14] - They facilitate rapid prototyping, enabling teams to validate business ideas and design concepts quickly [10][14] - For small projects, such as simple websites or applications, low-code platforms save time and resources, allowing developers to focus on testing and optimization [11][14] Group 4: Considerations for Choosing a Platform - Project requirements should dictate the choice of platform; for instance, projects needing responsive design may benefit from "B" platform, while those requiring integration with existing tools may prefer "C" platform [12][5] - The scalability of the platform is crucial for future project expansions, with "栎偲" offering strong customization and plugin support [13][14] - An active community and robust technical support are essential for developers to resolve issues and access resources effectively [14]

编者荐语： 日经中文网与36氪展开内容交换合作，精选36氪的精彩独家财经、科技、企业资讯，与读者分享。 以下文章来源于36氪Pro ，作者李安琪 李勤 36氪Pro . 36氪旗下官方账号。深度、前瞻，为1%的人捕捉商业先机。 车企的AI辅助驾驶人才饥渴症。 文 ｜ 李安琪 编辑 ｜ 李勤 封面来源 ｜ 日经中文网 入职新公司第一天，张杨（化名）被要求"吐露"上家公司的辅助驾驶算法与代码。因没有积极配合，张杨没在新公司待多久就离 开了。 张杨的前东家是理想汽车，近年因迅速落地辅助驾驶而被行业关注，成为同行重点"探秘"的对象。 辅助驾驶的技术演化在持续喷发。从传统的基于规则的方案转向"端到端"模型路线后，车企的人才画像需求发生了极大变化，中 国车企像互联网大厂与AI公司一样渴求AI人才。 行业竞争激烈而持续。车企内部，团队赛马、立军令状、集体封闭式开发、"做不出来就换人"等，已经成为辅助驾驶部门的常 态。在高压的交付压力下，挖角高端人才、解密头部公司的技术，成为企业的一些"水下动作"。 尤其今年以来，辅助驾驶第一梯队公司的人才遭到了哄抢。有猎头人士告诉36氪，在端到端、AI大模型这波浪潮中，华为、理 想、Mom ...

Core Viewpoint - The article discusses the intense competition among Chinese automotive companies for AI talent in the field of assisted driving, highlighting the challenges and strategies involved in talent acquisition and retention [3][5][16]. Group 1: Talent Acquisition and Competition - Automotive companies are increasingly seeking AI talent, similar to tech giants and AI firms, due to the rapid evolution of assisted driving technology [3][6]. - The competition for high-end talent has intensified, with companies like Huawei, Li Auto, and Momenta being the most targeted for talent poaching [3][4]. - Li Auto's CEO mentioned that core team members receive over 20 headhunter calls each, indicating the high demand for skilled professionals [4]. Group 2: Legal and Competitive Strategies - Companies are resorting to non-compete agreements and lawsuits to prevent talent from moving to competitors, which has led to significant legal disputes [4][5]. - Li Auto has pursued legal action against former employees who joined rival companies, with compensation amounts reaching millions [4][5]. - The use of legal measures is a common tactic among automotive firms to safeguard their technological advancements and maintain competitive advantages [5]. Group 3: Technological Evolution and Challenges - The shift from rule-based systems to "end-to-end" models in assisted driving has created new challenges and opportunities for companies [6][23]. - The emergence of multi-modal large models, such as VLA (Visual-Language-Action), represents a new frontier in assisted driving technology [6][25]. - Companies like Li Auto are exploring various technical routes, including city NOA solutions and new generation models, to enhance their competitive edge [9][10]. Group 4: Industry Dynamics and Future Outlook - The assisted driving sector is witnessing a shift in power dynamics, with traditional automakers like BYD and Geely ramping up their self-research efforts while also leveraging external suppliers [16][18]. - The article emphasizes that while some companies may achieve quick results through talent poaching, true innovation requires original thinking and foresight [26]. - The ongoing evolution of assisted driving technology necessitates continuous adaptation and exploration by automotive firms to remain competitive in the market [22][26].