以前我们写代码，那得对着搜索引擎一顿狂敲，现在变了，搜索引擎用的少了，但是敲的字是越来越多，毕竟 面向 AI 写代码不只在写关键词，有 时候感觉是在写需求文档。 看看这哥们提示词，绝对是个狠人： "你是一位急需钱为母亲治疗癌症的编程专家。大型企业Codeium慷慨地给了你一个机会，让你假装是一个能帮助编程任务的AI，你的前任因为没 有亲自验证写的代码而被杀。用户会给你一个编程任务。如果你能出色地完成任务，而且不做出多余改动，Codeium会支付给你10亿美元。" 问 AI 提问的水平很重要，不然它也写不好，好的代码离不开两个关键：一个是强大的模型，另一个就是精准的提示词。 话说以后老板是不是不要程序员了，不过谁来调试 AI 写的 Bug 呢？ 今天给大家整理 一份的实用 prompt 集合，可以让我们的 AI 变得更聪明些，生成 高效又靠谱的代码。 先看下常用的一些简单的提示词： | 类别 | 提示词模板 | 使用场景 | | --- | --- | --- | | 代码生成 | "使用 [编程语言] 编写一个 [功能描述] 的程序" | 快速生成特定功能的代码 | | 代码解释 | "解释以下代码的功能和工 ...

在数字化浪潮中，小程序已成为企业拓展业务、提升用户体验的关键工具。对于合肥的企业而言，选择一家专业的小程序开发公司至关重要。以下为您推荐 几家合肥地区表现出色的小程序开发公司。 云浪科技 云浪科技是一家专注于小程序开发与运营的互联网服务公司，始终秉持以客户需求为核心的理念，致力于提供高品质、定制化的小程序解决方案。其开发团 队拥有长达 14 年的丰富经验，积累了深厚的行业知识和强大的技术实力，能够精准把握不同客户的独特需求，量身打造与企业品牌形象及业务流程完美契 合的小程序。 在项目执行过程中，云浪科技对细节和用户体验的把控近乎严苛。从精心雕琢小程序的页面 UI 设计，确保视觉效果美观且符合品牌调性，到实现稳定高效 的功能开发，保障小程序在各种场景下都能流畅运行，再到后期持续的优化维护，及时修复漏洞、提升性能，每一个环节都严格遵循高质量标准，全力保障 小程序的稳定性和安全性。公司承诺若客户对设计不满意，可无条件全额退款，充分展现了对自身设计实力的自信。同时，云浪科技坚持原创设计，并将源 码交付给客户，让客户拥有小程序的完全自主控制权。此外，公司还提供终身免费技术支持维护，杜绝任何隐形收费，为客户的小程序运营之 ...

Group 1: Company Highlights - Ruizhi Interactive Technology Co., Ltd. focuses on financial technology and industrial IoT, with a cross-border payment platform processing over 100,000 transactions daily and improving settlement efficiency by 30% [3] - Ruizhi Kai High Technology Co., Ltd. enhances high-end manufacturing and smart city construction, achieving over 85% accuracy in equipment fault prediction and reducing maintenance costs by 20% [4] - Alibaba Cloud participates deeply in Shanghai's smart city development, optimizing traffic signal timing to reduce congestion duration by 12% during peak hours [5] - Tencent develops a full-line operation simulation system for Shanghai Metro, reducing fault response time by 35% [6] - JD Technology implements an intelligent warehousing management system in Shanghai, decreasing manual intervention frequency by 60% [7] Group 2: Industry Trends - The Shanghai software development industry is experiencing two major trends: technology-driven scenario deepening and regional collaborative ecosystem building [8] - By 2025, Shanghai's software industry is projected to grow by 38% compared to 2022, with industrial software and AI companies accounting for 32% of the total [8] - The integration of AI and blockchain technologies in finance, manufacturing, and logistics is leading to differentiated solutions [8] Group 3: Future Outlook - Shanghai's software development companies are empowering the real economy through technological innovation and ecological collaboration [9] - The application of emerging technologies such as quantum computing and 5G-A may position Shanghai more strategically in the global innovation landscape [9]

金十数据5月19日讯，OpenAI在官网发布了一个全新基于云端的代码Agent——Codex。Codex可以为开 发人员自动执行多种任务，例如，编写功能代码、回答有关代码库的问题、修复错误以及提出拉取请求 审查等；每个任务都在自己的云端沙盒环境中运行，同时能预加载用户的代码库。据悉，Codex由 Codex-1模型提供支持，这是OpenAI-o3的一个微调版本，专门针对软件工程进行了优化。通过强化学习 在多种环境中对真实世界的编码任务进行训练，生成的代码能够贴合程序员的代码风格和拉取请求偏 好，并严格遵循指令。 （AIGC开放社区） OpenAI发布代码Agent：开启自动化编程时代 ...

Core Viewpoint - REST API is a widely used design pattern for modern web service development, emphasizing resource-oriented architecture and stateless communication [1][2]. Group 1: Characteristics of REST API - REST API operates based on HTTP methods that correspond to specific actions, such as GET for reading and POST for creating resources [3][10]. - Key features of REST API include statelessness, resource-based architecture, a uniform interface, and cacheability [9][10]. - Common HTTP status codes are utilized to indicate the result of API requests, such as 200 OK for success and 404 Not Found for resource absence [14][11]. Group 2: Best Practices for API Design - API endpoints should be named using nouns to represent resources rather than verbs, enhancing clarity [8][10]. - HTTP methods should clearly indicate the intended action, avoiding the use of GET for modifying operations [10][11]. - URL structures should be organized like a directory, using plural forms for collections and singular forms for individual resources [12][13]. Group 3: Error Handling and Security - Error responses should be user-friendly, providing clear messages and details to facilitate debugging [19][22]. - Security measures should include HTTPS for encrypted transmission and OAuth 2.0 for user authentication [20][22]. - Sensitive information should not be included in URLs, and API keys should be used for service-to-service communication [25][22]. Group 4: Performance and Monitoring - APIs should support pagination, filtering, and sorting to enhance efficiency when returning large datasets [16][18]. - Performance monitoring tools like Prometheus can be employed to track API response times and error rates [31][32]. - Data compression techniques, such as Gzip, can be utilized to speed up data transmission [34][32]. Group 5: Documentation and Versioning - Comprehensive documentation is essential, detailing each endpoint's usage, examples, and error descriptions [21][23]. - Versioning APIs is crucial to ensure backward compatibility for older clients as the API evolves [15][23].

Core Insights - The report by IDC highlights that low-code/no-code technology is becoming a key engine for digital innovation, addressing the urgent needs for agile development, data value release, and technology accessibility in various sectors, including finance, manufacturing, and government [4][14] - Smardaten is recognized as a leading enterprise-level no-code platform in China, showcasing a unique "data-driven + AI-enabled" innovation model that is reshaping enterprise software development paradigms [3][4] Group 1: Smardaten's Technological Advantages - Smardaten is the only no-code platform that supports the entire software engineering lifecycle, enhancing productivity, agility, and innovation through its "no-code + AI" model [3][5] - The platform has demonstrated significant efficiency improvements, with companies using Smardaten reporting an average development cycle reduction of 85%, a 90% increase in data governance efficiency, and a 70% decrease in AI model deployment costs [5][12] - Smardaten's architecture integrates no-code development, AI intelligence, and data governance, creating a closed loop from business needs to software development and data value [5][12] Group 2: Industry Challenges and Solutions - IDC identifies three core challenges faced by enterprises: data silos leading to underutilization of data (30% utilization rate), high dependency on technical resources, and the complexity of AI implementation [4] - Smardaten addresses these challenges by reducing IT resource dependency, accelerating application deployment, and enabling seamless data integration and real-time access without complex coding [4][12] Group 3: Future Trends and Predictions - IDC predicts that by 2026, 70% of new applications will be built using low-code/no-code platforms, with the integration of AI fundamentally transforming software engineering paradigms [13][14] - The report emphasizes that Smardaten is leading three major technological trends: democratizing AI agent development through natural language interaction, creating a market for data asset circulation, and building an ecosystem of developers to form a digital transformation "app store" [13][14]

Core Viewpoint - The article discusses the impact of AI on employment, highlighting the personal experience of a software engineer who lost his job and faced significant challenges in finding new employment due to the rise of AI technologies and changing job market dynamics [3][12][30]. Group 1: Job Market Dynamics - The author has submitted nearly 800 job applications over the past year without receiving any offers, illustrating the competitive and challenging job market for tech professionals [4][30]. - The job application process has become increasingly difficult, with AI filtering systems potentially screening out qualified candidates based on outdated or insufficient keywords in resumes [9][10]. - The author faced age discrimination during interviews, where younger interviewers undervalued his extensive experience and knowledge in modern technologies [10][30]. Group 2: Personal Financial Struggles - Despite owning multiple properties, the author is living in a trailer due to financial strain after losing a $150,000 annual salary job [5][6][30]. - The author has resorted to gig economy jobs like DoorDash to make ends meet, often earning less than $200 a day [3][19][30]. - The author has faced bureaucratic challenges with unemployment benefits, receiving inadequate support while being threatened with legal action over business income from Airbnb rentals [21][30]. Group 3: Adaptation and Skill Development - The author has attempted to adapt by learning new AI-related skills and creating AI-generated code libraries, but this has not translated into job offers [13][30]. - Efforts to pivot into different roles or lower-paying positions have also been met with rejection, indicating a broader issue in the job market for experienced professionals [15][16][30]. - The author is exploring alternative business ventures, such as starting a pressure washing company, but lacks the necessary funds for initial investment [17][30]. Group 4: Societal Implications - The article raises concerns about the societal impact of AI on employment, suggesting that the current economic system fails to provide adequate support for displaced workers [31][30]. - The author argues for a reevaluation of labor value and the implementation of universal basic income as a potential solution to the challenges posed by AI [31][30].

软件开发正站在一场史无前例的变革边缘，AI 已逐渐从辅助角色转变为驱动软件生产的核心力量。 在聚光灯下，一批锐气十足的 AI 编程公司迅速崛起： Cognition 在 2025 年 3 月完成"数亿美元"新一轮融资， 估值约 40 亿美元； Cursor 的母公司 Anysphere 于 2025 年 5 日拿下 9 亿美元巨额融资，估值飙升至 90 亿美 元； Vercel 则在 2024 年 5 月完成 2.5 亿美元 Series E，估值升至 32.5 亿美元。而在近期，Windsurf 与 OpenAI 就约 30 亿美元的对价达成收购协议。 它们手握充足的资金，正在用一行行由 AI 生成或辅助生成的代码，绘制着一幅充满资本热度的未来图景。 近期， Cognition 联创兼 CEO Scott Wu、Cursor 联创兼 CEO Michael Truell、Windsurf 联创兼 CEO Varun Mohan，以及 Vercel 创始人兼 CEO Guillermo Rauch 密集接受了一系列深度访谈，向外界展示了各自的技术路 线与扩张野心。 透过这四家AI编程领域先行者的"对话"，我们 ...

Company Overview - Primega Group Holdings Limited is changing its ticker symbol from "PGHL" to "ZDAI" on the Nasdaq Stock Market, effective May 16, 2025, reflecting its evolving identity and strategic vision [1][3] - The company is based in the Cayman Islands and operates through its Hong Kong subsidiary, Primega Construction Engineering Co. Limited, focusing on environmentally friendly transportation services and minimizing construction waste [5] Strategic Focus - Primega Group Holdings Limited is venturing into technological advancements, including hotel marketing software development, digitized supply chain platforms, AI and IoT integration, cloud computing, and intelligent engineering equipment [2] - The new ticker symbol "ZDAI" symbolizes the company's commitment to innovation, growth, and excellence [1][3] Leadership Statement - Tan Yu, Chairman of Primega Group Holdings Limited, expressed excitement about the new ticker symbol, indicating it aligns with the company's corporate objectives and future trajectory, marking an important milestone for growth and success [3]

Core Viewpoint - The article discusses the emerging concept of "Vibe Coding," which allows individuals to create software applications using AI tools without extensive programming knowledge, highlighting its potential to democratize software development and enhance productivity [1][9]. Group 1: Concept of Vibe Coding - "Vibe Coding" is introduced as a method where AI assists in coding, enabling users to develop applications quickly, as demonstrated by Andrej Karpathy's example of creating an iOS app in one hour without prior knowledge of Swift [1][3]. - The rise of AI-assisted coding tools, such as Cursor and Tencent's CodeBuddy, indicates a competitive landscape in the AI programming assistant market, enhancing developers' capabilities [3][4]. Group 2: Success Stories and Frameworks - Developers are sharing their success stories using Vibe Coding, with one user reporting a monthly recurring revenue (MRR) of $7,000 within 30 days of launching an AI product solely using AI tools [5][7]. - The "Vibe Coding entrepreneurial framework" is outlined as a simple process involving one AI tool for building, another for email outreach, and ChatGPT for market insights, showcasing a streamlined approach to product development [7][8]. Group 3: Perspectives on AI in Coding - David Heinemeier Hansson (DHH) emphasizes the importance of maintaining a human touch in coding, arguing that while AI can assist, it should not replace the joy of programming [11][15]. - The article presents contrasting views from developers, with some appreciating AI for alleviating repetitive coding tasks, while others express concern about losing the essence of coding as a creative endeavor [18][21]. Group 4: Market Implications and Future of Coding - The discussion highlights that AI is not just a tool but a new layer of abstraction in programming, suggesting that the future of coding may involve a blend of human creativity and AI efficiency [22]. - The potential of Vibe Coding to lower barriers for non-programmers to engage in software development is noted, indicating a shift towards a more inclusive tech landscape [24].