Most infra today assumes you’re building alone.The Sui Stack assumes you’re building together - collaborating with users, data, other apps, and agents.It’s not just new plumbing. It’s a rethink of how software is supposed to work.Here’s how 👇 https://t.co/vLk16yCmVe ...

在数字化快速发展的今天，企业和个人往往面临着一个重要的决策：是选择定制软件开发，还是进行网 站建设。这两者看似相似，但实际上具有不同的目标、特点和优势。本文将对软件开发与网站建设的优 劣进行详细分析，以帮助您更好地做出选择。 一、概念解析 1. 软件开发 软件开发是指通过编程和其他技术手段，创建应用程序或系统以满足特定需求的过程。软件可以包括桌 面应用、移动应用、云服务等，覆盖广泛的功能与行业，通常用于提高工作效率、数据处理、自动化 等。 2. 网站建设 1. 目标 软件开发的目标：通常针对特定的业务需求，旨在解决特定的问题或提升特定的工作流程。例如，一家 企业可能需要开发一款内部管理系统，以提高员工协作和资源管理的效率。 网站建设的目标：一般是为了提升企业的在线可见性、吸引潜在客户、增加销售额或提供客户支持。一 些企业可能需要创建电商平台，另一些则可能只需要一个展示型网站。 2. 需求 软件开发的需求：对功能性的要求较高，需要明确具体的需求，比如用户权限管理、数据处理、报告生 成等。通常需要与用户进行深入沟通，以确认细节。 网站建设的需求：需求相对多样化，可能包括页面设计、内容管理、SEO优化、响应式布局等 ...

Software Development Paradigm Shift - The AI world is changing how software is built, moving from traditional programming languages like Java or C++ to natural language instructions [1] - Instead of writing code, users can instruct AI to perform tasks, such as building a website with specific design elements, using natural language [1] Globalization of Software Development - The company is investing in making programming global by enabling users to give instructions to AI agents in their native language, such as Korean [2] - This approach allows developers worldwide to interact with AI agents in their preferred language and receive responses in the same language [2]

Core Argument - In the age of AI-driven software development, the ability to precisely communicate intent through specifications is paramount, surpassing the importance of coding itself [1] - Specifications, rather than prompts or code, are emerging as the fundamental unit of programming, positioning spec-writing as a critical skill [1] - Rigorous, versioned specifications serve as the single source of truth, compiling into documentation, evaluations, model behaviors, and potentially code [1] Technical Focus - The industry emphasizes the need for executable specifications in AI systems to align human teams and machine intelligence, drawing a parallel to the US Constitution [1] - OpenAI's Model Spec is presented as a real-world example of executable specifications [1] Future Implications - The industry anticipates a shift in developer tooling, where communication becomes the most important artifact in engineering [1]

Core Viewpoint - The article emphasizes the significant growth potential in the renewable energy sector, driven by increasing global demand for sustainable energy solutions and supportive government policies [1] Group 1: Industry Overview - The renewable energy market is projected to reach a value of $1.5 trillion by 2025, growing at a compound annual growth rate (CAGR) of 8% from 2020 [1] - Solar and wind energy are leading the growth, with solar energy expected to account for 55% of the total renewable energy capacity by 2025 [1] - Government incentives and investments in green technologies are crucial for the industry's expansion, with over $500 billion allocated globally in 2021 [1] Group 2: Company Insights - Company A has reported a 30% increase in revenue year-over-year, attributed to its expansion in solar panel production [1] - Company B is focusing on offshore wind projects, with plans to invest $2 billion in new installations over the next three years [1] - Company C has achieved a 25% reduction in production costs through technological advancements, positioning itself competitively in the market [1]

Core Functionality & Vision - Windsurf is rapidly growing with key features like web search, MCP support, auto-generated memories, and parallel agents [1] - The company's core philosophy centers on creating a shared timeline between humans and AI for intuitive interaction [1] - The vision is for Windsurf to integrate with various developer tools such as Google Docs, Figma, GitHub, Notion, and Linear [1] - Windsurf aims to expand beyond coding to include tasks like interacting with third-party services and writing design documents [1] - The goal is to create a nearly autonomous AI that assists developers in the background [1] Model & Benchmarking - SWE-1 is introduced as a new software engineering model trained for entire workflows [1] - End-to-End Task Benchmark and Conversational SWE Task Benchmark showcase Windsurf's results [1] - A data flywheel drives Windsurf's continuous improvement through a feedback loop [1] Future Outlook - The industry emphasizes the harmony of model, data, and application for building successful AI products by 2025 [1]

Market Trend - The number of professional software developers is expected to increase over time due to the increasing ease of software development [1] - There is a growing demand for bespoke software tailored for specific individuals or teams [2] Productivity Impact - Software development tools act as a multiplicative factor, enhancing developer productivity rather than replacing them [3][4] - Top users of certain software development tools are observed to be making 10+ pull requests (PRs) every day [3] - The bar to creating software is being lowered [4] Future Outlook - The long-term impact of these tools on the software development landscape remains uncertain, requiring close monitoring [4]

Core Insights - Rivian Automotive is poised for significant growth with the upcoming launch of three new mass-market vehicles, expected to begin shipments in early 2026, which will target the mid-sized SUV market and be priced under $50,000 [3][4][5] - The company’s future value may be driven more by its software development than by vehicle introductions, with a focus on creating a proprietary software stack that could outperform competitors at a lower cost [6][8][9] Vehicle Launches - The R2 model is anticipated to launch first, with initial deliveries expected in early 2026, while the R3 and R3X models are projected to ramp up production in late 2026 or 2027 [4][5] - The introduction of these models is seen as a potential game-changer for Rivian, similar to how Tesla's Model Y and Model 3 significantly impacted its sales [5] Software Development - Rivian's partnership with Volkswagen, which could involve up to $5 billion in investment, is crucial for scaling its mass-market models and emphasizes the importance of software in the automotive industry [7][9] - Rivian claims its software architecture can deliver better performance at 25% to 40% lower costs compared to existing systems, which could enhance its competitive edge [8] Future Outlook - By 2035, Rivian could emerge as a leading software provider in the automotive industry, particularly for manufacturers lacking their own technology stacks [10] - The company has achieved positive gross margins in recent quarters, indicating a potential path to becoming a household name like Tesla, driven by both hardware and software innovations [9]

You think that developers today are using AI in the previous generation of software development that they've been used to. Yes. Um, and so you you use this phrase, the AI horseless carriage.Maybe tell tell us what you mean by that. This is a reference to early automobile designs that looked a lot like carriages with the horse replaced with an engine, right. And there were all sorts of problems with that design.Yeah. And this phenomena we we see over and over and over again in technology like some some ones ...

AI Development & Application - The industry is currently using outdated software development techniques for AI features, hindering the full potential of AI, which should enable users to program software using natural language [1][18] - AI application development is often approached by trying to fit AI into existing applications, rather than redesigning tools from the ground up to automate repetitive tasks [18][62] - The industry needs to move beyond the chatbot paradigm and focus on AI's capability to automate work and accomplish tasks on behalf of users [58][60] - A key element is providing users with "tools" that agents can use to accomplish tasks, such as labeling emails, archiving them, or writing drafts [53][54] System Prompts & User Control - Current AI applications often hide the "system prompt" (instructions given to the AI) from the user, limiting customization and personalization [1][11] - The industry should allow users to view and edit system prompts, enabling them to tailor the AI's behavior to their specific needs and preferences [8][10] - Allowing users to control system prompts shifts the responsibility for the AI's output from the developer to the user [35] - While not everyone may want to write system prompts from scratch, the option should be available, and AI could assist in generating and customizing prompts based on user history and feedback [41][42][48] Future of AI Development - The industry needs to develop better tooling and UI conventions for interacting with and teaching AI, potentially including AI-assisted system prompt writers [45][46] - AI models are good at processing instructions and turning them into text output, making them particularly effective for coding agents [31][32] - Founders should rethink existing tools from the ground up with AI, focusing on offloading repetitive work from users [61][62]