格隆汇1月24日｜OpenAI首席执行官萨姆 · 奥特曼（Sam Altman）在 X 平台发布推文，宣布在未来 1 个 月时间里，OpenAI 将推出多个 Codex 相关产品，首款产品将于下周推出。 Codex 是一套高度成熟的智 能编程辅助生态系统，不再仅仅是一个 API 接口，而是集模型、工具和工作流于一体的"AI 软件工程 师"。 奥特曼重点介绍了 AI 编程安全方面，认为对世界最有利的做法是快速修复安全漏洞。在发布该 推文同时，OpenAI 官网还发布技术博文，深度揭秘其跨平台本地软件智能体 Codex CLI 的核心逻辑"智 能体循环"（Agent Loop）。 该循环负责编排用户、模型与工具间的交互，通过将用户指令转化为 Token 输入模型，执行推理并调用工具（如文件操作），直至生成最终回复。 ...

编辑｜Panda 刚刚，OpenAI CEO 山姆・奥特曼发了一条推文：「从下周开始的接下来一个月，我们将会发布很多与 Codex 相关的激动人心的东西。」他尤其强调了网络安全这 个主题。 当然，和奥特曼的很多推文一样，这条推文也收获了网友的各式各样的评论： 似乎是响应奥特曼的 Codex 发布预告，OpenAI 官方也发布了一篇技术博客，以「 揭秘 Codex 智能体 循环 」为题，深入揭秘了 Codex CLI 的核心架构 —— 智能 体循环（Agent Loop）。 博客地址：https://openai.com/index/unrolling-the-codex-agent-loop/ 具体来说，其中详细介绍了它如何通过 Responses API 协调用户指令、模型推理与本地工具执行（如 Shell 命令），并重点阐述了通过保持「提示词前缀一致」来 触发缓存优化性能，以及利用自动压缩技术管理上下文窗口，从而在保证数据隐私（ZDR）的前提下，实现安全、高效的自动化软件开发。 下面我们就来详细看看这篇博客的内容。 揭秘 Codex 智能体循环 Codex CLI 是 OpenAI 的跨平台本地软件智能体 ...

Product Updates & Features - Codex CLI has been improved with updates to GP5 and GP5 codecs, enhancing agentic coding capabilities [1] - Codex CLI can be easily installed with npm or brew and logged in with a Chat GPT account [2] - The new GPT5 Codex model is highly effective for various coding tasks [3] - The model switcher feature allows users to select different models for different tasks, optimizing reasoning level [5] - Codex offers sandboxing features with three modes: read-only, auto (default), and full access, controlling file access and modifications [6][7] - Codex resume allows users to continue from previous sessions [8] - Codex can be used for deploying applications and debugging by analyzing logs and disparate data sources [9][10] Deployment & Usage - Codex can deploy applications on platforms like Versal, utilizing code search to fetch the latest documentation [11] - The demonstration showcased Codex CLI modifying a game to implement a multiplayer feature in real-time [12][13] - Codex CLI supports a wide variety of languages, frameworks, and projects [14] Accessibility & Availability - Codex CLI is designed to be an AI teammate accessible wherever users work, directly in the terminal [15]

Core Insights - The rapid advancement of AI programming tools is transforming the coding landscape, with models like GPT-5 and Gemini 2.5 enabling a degree of automation in development tasks [1][2] - The adoption of AI coding agents has become a norm not only for programmers but also for professionals in product and design roles, leading to an increasing proportion of AI-generated code [3] - Despite the benefits, challenges remain regarding code quality and analysis efficiency, prompting developers to explore the use of multiple AI agents in parallel [3][5] Summary by Sections - **Parallel Coding Agent Lifestyle**: Simon Willison initially had reservations about using multiple AI agents due to concerns over code review bottlenecks. However, he has since embraced this approach, finding it manageable to run multiple small tasks without overwhelming cognitive load [5][6] - **Task Categories for Parallel Agents**: - **Research Tasks**: AI agents can assist in answering questions or providing suggestions without modifying core project code, facilitating rapid prototyping and validation of concepts [7][9] - **System Mechanism Recall**: Modern AI models can quickly provide detailed, actionable answers about system functionalities, aiding in understanding complex codebases [10][11] - **Small Maintenance Tasks**: Low-risk code modifications, such as addressing deprecation warnings, can be delegated to AI agents, allowing developers to focus on primary tasks [13][14] - **Precisely Specified Work**: Reviewing code generated from detailed specifications is less burdensome, as the focus shifts to verifying compliance with established requirements [15] - **Current Usage Patterns**: Willison's primary tools include Claude Code, Codex CLI, and Codex Cloud, among others. He often runs multiple instances in different terminal windows, executing tasks in a YOLO (You Only Live Once) manner for manageable risks [16][19] - **Developer Community Response**: The blog post has garnered significant attention, resonating with current pain points in coding workflows. Many developers are experimenting with parallel AI agents, with some reporting that a substantial portion of their coding work is AI-assisted [21][22] - **Concerns and Discussions**: While some developers express apprehension about the unpredictability of AI-generated code, others, including Willison, advocate for the benefits of parallel agent usage, particularly for non-code-committing research tasks [26][29]

Product Update - Codex CLI工具推出，用于本地代码更改的快速审查 [1] - 未来几天将大幅扩展Codex CLI的功能 [1] - 鼓励用户向Daniel反馈使用体验 [1]

Core Insights - OpenAI has released GPT-5-Codex, an optimized version of GPT-5 specifically for software engineering, enhancing its programming capabilities [1][2] - The model can dynamically adjust its thinking time based on task complexity, allowing it to work independently on large tasks for over 7 hours [1][4] - GPT-5-Codex has shown improved accuracy in benchmark tests compared to GPT-5, with a reported accuracy of 74.5% in software engineering tasks [4][5] Group 1: Model Features and Performance - GPT-5-Codex is designed for complex engineering tasks, including project construction, feature addition, debugging, and code review [4] - The model's accuracy in code refactoring tasks is 51.3%, significantly higher than GPT-5's 33.9% [5] - In code reviews, GPT-5-Codex has a lower error comment rate of 4.4% compared to GPT-5's 13.7%, and a higher rate of high-impact comments at 52.4% [9][10] Group 2: Developer Tools and Integration - GPT-5-Codex is integrated into various developer tools, including Codex CLI and IDE extensions, allowing seamless transitions between local and cloud environments [2][16] - The Codex CLI has been updated to allow developers to share images and track progress on complex tasks, enhancing collaboration [14] - The IDE extension enables developers to use Codex within popular code editors, streamlining the coding process and maintaining context [16][17] Group 3: Competitive Landscape - The AI programming tool market is becoming increasingly competitive, with products like OpenAI Codex, Claude Code, and GitHub Copilot vying for dominance [21] - OpenAI's recent upgrades to Codex demonstrate its commitment to enhancing automation and collaboration in programming tasks, reflecting the intensifying competition in the sector [21]

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. ...