机器之心报道 编辑：冷猫 AI 编程工具的进步速度正在迅速加快。 如果各位读者从事涉及代码相关的工作，应该很能察觉到近两年 AI 编程能力的进化幅度，GPT-5 和 Gemini 2.5 等最新前沿大模型已经让开发者在实际任务中一定 程度实现了自动化，近期发布的 Sonnet 4.5 又再次推动了这一进展。 再结合现在已经非常成熟 CLI、IDE 工具等的辅助，采用编码智能体进行开发工作已经成为了一种常态，甚至成为了一种新的生活方式。 不仅仅是程序员，产品类、设计类岗位的从业人员都已广泛采用 AI 编码智能体辅助工作，AI 生成的代码比例越来越高。 但是，AI 编码智能体仍然存在一些问题，比如代码质量不高，智能体分析效率低下等等。 那么，与其等待智能体分析生成或是多次「抽卡」的低效，有没有可能同时并行使用多个智能体进行工作呢？ Datasette 的创建者，独立开源开发者 Simon Willison 已经成为了 同 时使 用多个编码智能体 的开发者。 为此，他发布了一篇全新博客，分享了自己同时运行多个编码 AI 的经历和宝贵经验，引起了海外开发者们广泛的关注，在 X 上的推文已破 10 万阅读量。 拥抱并行 ...

RT Tibo (@thsottiaux)/review now in Codex CLIUse it to get a quick review from codex on your code changes locally. Will expand a lot in coming days, send Daniel your feedback! ...

智东西9月16日消息，今日凌晨，OpenAI发布新模型GPT-5-Codex，这是其在GPT-5基础上专门为软件工程优化的模型版本，进一步提升了Codex中的智能 体编程（Agentic Coding）能力。 01 根据任务动态调整思考时间，错误评论减少、高影响力评论增加 GPT-5-Codex针对复杂的实际工程任务进行了训练，例如从头构建完整项目、添加功能和测试、调试、执行大规模重构以及进行代码审查。其可以更好遵 循AGENTS.md的指令，并生成高质量的代码，开发者只需提出自己的需求，无需编写冗长的代码风格或代码整洁性说明。 此外GPT‑5-Codex会根据任务的复杂程度，动态调整思考时间，其执行任务的时间会从几秒到7个小时不等。该模型结合了编程智能体的两项基本技能： 在交互式会话中与开发者配对，以及在较长的任务上持续、独立地执行。这意味着Codex在处理小型、定义明确的请求或与它聊天时会感觉更敏捷，并且 在处理大型重构等复杂任务时也能工作更长时间。 OpenAI在博客中提到，GPT-5-Codex的训练侧重于实际的软件工程工作，其可以根据任务动态调整思考时间，在大型复杂任务上能够独立工作超过7个小 时。 ...

Core Insights - OpenAI has launched the GPT-5-Codex specialized model, which supports independent continuous programming for up to 7 hours [1][2] - The new model features a dynamic routing mechanism that allows real-time adjustments during task execution, enhancing its ability to handle complex tasks [2][5] - GPT-5-Codex has shown a nearly 20% improvement in success rates for code refactoring tasks compared to the original GPT-5 [5] Performance Enhancements - The model exhibits "true dynamic thinking" capabilities, significantly reducing output token counts for simple tasks by 93.7%, resulting in a 10-fold speed increase [8] - For complex tasks, it takes twice as long for reasoning, editing, and testing, with output token counts increasing by 102.2% [8] - The error comment rate during code review has decreased from 13.7% to 4.4%, while the proportion of high-impact comments has risen from 39.4% to 52.4% [11] Ecosystem Upgrades - OpenAI has restructured the entire Codex product system, introducing features like image input support and a task tracking to-do list for complex tasks [14] - The new IDE extensions integrate Codex into popular editors like VS Code and Cursor, allowing seamless cloud and local task management [14] - Performance improvements in cloud infrastructure have reduced median completion times for tasks by 90% [15] Market Positioning - The timing of this upgrade coincides with a decline in user subscriptions for Claude Code, positioning OpenAI to capture market share in AI programming [16] - There is a suggestion for Microsoft to upgrade its Copilot, indicating competitive pressures in the AI programming space [18]

Core Viewpoint - OpenAI has launched GPT-5-Codex, a model optimized for programming tasks, enhancing software engineering capabilities and code review processes [1][3][4]. Group 1: GPT-5-Codex Features - GPT-5-Codex is designed for real software engineering tasks, capable of quick responses in interactive sessions and independently handling complex tasks [1][8]. - The model has been integrated into all Codex use cases, including Codex CLI, IDE extensions, web, mobile, and GitHub code reviews [3][4]. - OpenAI CEO Sam Altman reported that within two and a half hours of launch, GPT-5-Codex accounted for approximately 40% of Codex traffic, with expectations to become the main traffic source [3]. Group 2: Performance Improvements - GPT-5-Codex shows superior performance in software engineering benchmarks, outperforming GPT-5 in accuracy on SWE-bench Verified and Code refactoring tasks [8][10]. - The model can dynamically adjust its thinking time based on task complexity, allowing it to work independently for over 7 hours on complex tasks [11][12]. - In user interactions, GPT-5-Codex consumes 93.7% fewer tokens in the least complex requests compared to GPT-5, while investing more time in complex tasks [12]. Group 3: Code Review Capabilities - GPT-5-Codex has been specifically trained for code review, capable of identifying critical vulnerabilities and providing focused feedback [14][27]. - The model has been evaluated using recent commits from popular open-source projects, demonstrating a higher accuracy in review comments compared to human engineers [14]. Group 4: Integration and Usability - Codex CLI and IDE plugins have been redesigned for better integration into developers' workflows, allowing for seamless context switching between local and cloud tasks [19][20]. - The new GitHub integration enables users to assign tasks to Codex without leaving their editing environment, enhancing productivity [23][24]. - Codex can now process images and screenshots, improving its ability to understand design specifications and UI issues [23][25]. Group 5: Security and Safety Measures - OpenAI has implemented safety measures to protect against potential misuse of Codex, including sandbox environments and permission requests for risky operations [28][34]. - Developers are encouraged to review Codex's outputs before deployment, as it serves as an additional reviewer rather than a complete replacement for human oversight [29][30]. Group 6: Pricing and Availability - GPT-5-Codex is included in various ChatGPT subscription plans, such as Plus, Pro, Business, Edu, and Enterprise [32][36]. - OpenAI plans to make GPT-5-Codex available through API soon, with additional purchasing options for Business and Enterprise plans [36].

Core Viewpoint - OpenAI has acquired the startup Alex, which specializes in AI-assisted tools for iOS developers, effectively integrating intelligent assistance into the Xcode development environment, addressing a gap left by Apple itself [1][4][10]. Group 1: Acquisition Details - Alex's product is a customized version of Cursor for Xcode, enhancing the development experience for iOS developers [1][10]. - The acquisition is seen as a strategic move by OpenAI to strengthen its position in the programming sector, especially against competitors like Anthropic [5][23]. - Alex's founder, Daniel Edrisian, previously worked at ElevenLabs and aimed to bridge the gap between traditional IDEs and the specific needs of Apple developers [7][12]. Group 2: Product Features and Market Position - Alex's tools allow for automatic project building, bug fixing, and running apps in simulators, which have been positively received by users for large iOS projects [10][11]. - OpenAI's recent integration of GPT-5 into Xcode 26 indicates a growing synergy between OpenAI's AI capabilities and Apple's development tools [2][10]. - The acquisition is expected to enhance OpenAI's competitive edge in the AI programming market, where Claude from Anthropic currently holds a significant market share [15][20]. Group 3: Future Plans and Community Response - Alex plans to continue supporting existing users but will stop new user downloads from October 1, 2024, indicating a shift in focus post-acquisition [13]. - The developer community has expressed excitement about the combination of OpenAI Codex and Alex's tools, anticipating improved coding assistance [3][4].

people seem to really like the new codex features!OpenAI Developers (@OpenAIDevs):We’re releasing new Codex features to make it a more effective coding collaborator:- A new IDE extension- Easily move tasks between the cloud and your local environment- Code reviews in GitHub- Revamped Codex CLIPowered by GPT-5 and available through your ChatGPT plan. ...

整理 | 华卫 刚刚，OpenAI 正式对外推出了 AI 编码神器 Codex，其目前向 ChatGPT Plus 用户开放。据 悉，Codex 在限定时段内提供宽松的使用额度，但在需求高峰期间，可能会对 Plus 用户设置速 率限制，以确保其能广泛可用。 并且，现在 Codex 可以在任务执行过程中访问互联网了，用户可用其安装基础依赖项、运行需 要外部资源的测试、升级或安装构建新功能所需的软件包等。互联网访问功能将向 ChatGPT Plus、Pro 和 Team 用户开放，之后也将支持企业版用户。不过，该功能日常默认处于关闭状 态，在创建新环境或编辑现有环境时可随时启用。 "我们不再处于集成开发环境（IDE）时代了。我们进入了自主开发时代。"有网友激动地表 示，"这是一个能自行搜索、安装、编码、测试、修复错误并发布的 AI。"此前 OpenAI 的 CEO Sam Altman 曾坚称，到今年年底，AI 模型将能够超越初级软件工程师。 值得一提的是，在发布推出 Codex 前，OpenAI 首先宣布了用 Rust 重写 AI 命令行编码工具 Codex CLI 的消息，称此举可提升性能和安全性并避免对 N ...

Group 1 - OpenAI has rewritten its AI command-line programming tool Codex CLI in Rust to enhance performance and security while eliminating dependency on Node.js, which may frustrate some users [1][2] - Codex CLI is an experimental programming agent that can run in the ChatGPT web browser environment and locally, featuring a chat-based user interface that operates in both interactive and silent modes [1] - The source code of Codex CLI was originally in TypeScript and required Node.js, but the team has now completed the rewrite in Rust [1][5] Group 2 - The decision to rewrite in Rust is driven by four key reasons: zero dependency installation, sandboxing requirements, performance optimization, and the ability to reuse existing Rust-based Model Context Protocol (MCP) implementations [2][4] - The current tool requires Node.js version 22 or higher, which may pose a barrier for some users [4] - Rust's lack of a runtime garbage collection mechanism leads to lower memory requirements, contributing to performance improvements [5] Group 3 - The Codex project currently has a composition of 46.7% Rust, making it the leading language, followed by TypeScript at 44.7% [5] - Codex CLI will still support code extensions in other languages such as JavaScript and Python, although specific details are yet to be disclosed [5] - Vue creator Evan You has also praised Rust for its efficiency, noting that the new version of Vite, using Rust-based Rolldown, has reduced production build times by 3 to 16 times and memory usage by up to 100 times [6]

Core Insights - OpenAI has officially launched Codex, an AI coding tool, which is currently available to ChatGPT Plus users with a flexible usage limit during peak demand periods [1][2] - Codex now has internet access capabilities, allowing users to install dependencies, run tests requiring external resources, and upgrade software packages [2][3] - The Codex CLI has been rewritten in Rust to enhance performance and security, moving away from Node.js dependencies [2][9] Group 1: Product Features - Codex is an experimental coding assistant that can run in the ChatGPT web browser and locally via Codex CLI, featuring a chat-based user interface [3] - The Codex CLI supports both interactive and non-interactive modes, designed for developers who prefer terminal usage while maintaining version control [3][4] - The tool is open-source on GitHub, currently receiving active development and community feedback [4] Group 2: Technical Improvements - The transition to Rust aims to achieve zero-dependency installation, improved sandboxing for security, and enhanced performance by eliminating runtime garbage collection [12][13] - Rust's implementation allows Codex CLI to function as both a client and server for the Model Context Protocol (MCP) [12] - Despite the shift to Rust, the Codex CLI will still support extensions in JavaScript, Python, and other languages [13] Group 3: Industry Trends - The trend of rewriting tools in Rust is gaining momentum, particularly in performance-sensitive applications, as seen with other projects like Vite and Zed [14][16] - Rust is recognized for its efficiency compared to JavaScript, although it presents higher development complexity [14]