纽约, Jan. 07, 2026 (GLOBE NEWSWIRE) -- 全球最大的Web3安全公司CertiK宣布与YZi Labs（原Binance Labs）达成战略合作。YZi Labs是一家专注于支持Web3、AI及生物科技领域长期创业者的全球投资机构，双方将共同提升“EASY Residency孵化计划”参与项目的安全架构，助力其长期稳健发展。 EASY Residency是YZi Labs旗下的全球性孵化计划，旨在支持Web3、AI及生物科技领域的创业团队，助力其实现长期价值的创造。 根据合作内容，CertiK将设立总额为100万美元的专项安全审计资金，用于支持EASY Residency计划的参与项目；并提供形式化验证、Skynet Boosting及AI扫描等安全服务支持。同时，YZi Labs将协助推动CertiK与孵化项目之间的沟通，帮助项目团队更深入了解CertiK的产品与服务能力。 YZi Labs负责人Ella Zhang表示：“安全是实现长期成功的基石，但对于仍在探索产品与市场契合度的早期创业者而言，安全往往是一项高风险的干扰因素。这就像建造一座摩天大楼——创始人应专注于整体架 ...

Core Viewpoint - The article emphasizes that AI is not a replacement but an amplifier of human capabilities, transforming the role of developers into "builders" who understand business problems and communicate effectively with AI tools [6][11][21]. Group 1: AI and Developer Transformation - AI is seen as a tool that enhances efficiency and creativity, shifting the focus from "how to write" code to "how to understand" systems and AI outputs [9][10][15]. - The emergence of AI coding tools like Kiro and GitHub Copilot has made coding easier, but it raises questions about the remaining value of human developers [8][9]. - Developers are encouraged to evolve from mere creators to evaluators, emphasizing the importance of understanding logic and context in coding [15][19]. Group 2: AI-Native Applications - Jeff Barr defines AI-native applications as intelligent systems that autonomously execute tasks, integrating language models and tools to create a closed-loop of understanding, reasoning, and execution [13]. - The concept of "disposable applications" is introduced, where AI rapidly generates applications for short-term use, significantly increasing innovation speed [25][26]. - A dual ecosystem is forming where foundational code is crafted by humans while AI generates upper-layer code, balancing speed and order [29][31]. Group 3: Communication and Collaboration - Effective communication is highlighted as a critical skill for developers, who must translate business needs into machine-understandable logic [17][19]. - The future of development involves close collaboration with clients to clarify requirements, enabling AI to generate high-quality specifications [18][21]. - The article suggests that the ability to articulate complex problems clearly will become the core value of developers in the AI era [21][22]. Group 4: Organizational Changes - AI is driving a shift towards smaller, more agile teams, allowing individual developers to take on roles that previously required multiple team members [39][40]. - The concept of "one-person unicorns" is proposed, where a single individual can build a billion-dollar company by leveraging AI tools effectively [40]. - Continuous experimentation and rapid iteration are identified as essential skills for future entrepreneurs and small teams [42]. Group 5: Future of Cloud Computing - The article asserts that cloud computing will not disappear but will evolve to integrate AI, creating intelligent systems that optimize and schedule resources dynamically [50][52]. - AI is positioned as a key component of the technology stack, enhancing the capabilities of cloud infrastructure without replacing existing paradigms [49][51]. - The future of competition will focus on data quality rather than the quantity of applications, emphasizing the need for robust data governance [34][35].