This article covers several recent updates to OpenAI's Codex and Responses API. Key highlights include the introduction of skills for Codex, new multi-provider support, and enhancements like Gmail and Google Calendar integration. The updates aim to improve usability and efficiency for developers.

This article covers a podcast episode with OpenAI's Alexander Embiricos, who discusses how to effectively use Codex for coding tasks. It highlights workflows, the importance of structured planning, and how the latest GPT-5.2 model improves efficiency. Key takeaways include the significance of human judgment and the integration of AI tools into existing workflows.

OpenAI has implemented a new "skills" feature in ChatGPT and Codex CLI, allowing users to access and utilize structured resources for tasks like document creation. The skills function by organizing Markdown files and additional resources in a specific folder, enabling tasks such as generating PDFs and creating plugins. This development mirrors similar features from Anthropic, indicating a growing trend in AI tool capabilities.

OpenAI CEO Sam Altman announced that ChatGPT is experiencing over 10% monthly growth again, despite competition from Anthropic. The company plans to launch an updated Chat model soon and is testing ads within ChatGPT. OpenAI is also in discussions for a potential $100 billion funding round to support its expanding operations.

This article discusses a Reddit AMA with the Codex team, where they answer questions about Codex, their coding agent. The session highlights recent upgrades, including the launch of the gpt-5-codex model. It provides a schedule for the live Q&A and lists team members participating.

OpenAI has launched GPT-5.3-Codex-Spark, a new model focused on real-time coding with ultra-low latency. It features a 128k context window and is designed for interactive tasks, allowing developers to make immediate edits and receive quick responses. This model will help improve coding workflows and is available to ChatGPT Pro users for experimentation.

OpenAI announced several updates, including Open Responses, an open-source spec for building multi-provider LLM interfaces. The introduction of GPT-5.2-Codex enhances complex coding tasks, while new skills and connectors improve usability and integration with other platforms.

OpenAI's new Codex app for Mac reached over 1 million downloads in its first week, showcasing significant user interest in AI-assisted coding. However, CEO Sam Altman indicated that the app will transition to stricter limits for free and low-cost users after a promotional period.

OpenAI has released a macOS app for Codex, its coding agent, enhancing the user interface and adding features like Skills and Automations. While current Automations can only run on a powered laptop, cloud support is on the way. The app aims to expand Codex's capabilities beyond coding to broader knowledge work tasks.

OpenAI is rolling out a new model called GPT-5.2-Codex-Max for subscribers, which enhances the capabilities of its Codex tool. This version improves performance on long tasks, tool use reliability, and understanding of visual content, building on the features introduced in GPT-5.2. Further details about the model are expected to be released soon.

OpenAI has released an upgraded version of Codex powered by the new GPT-5 model, enhancing its capabilities in code generation and understanding. The improvements aim to make the AI more efficient and accurate in assisting developers with programming tasks. This upgrade reflects OpenAI's ongoing commitment to advancing AI technology for practical applications in software development.

Codex CLI is a local coding agent from OpenAI that can be installed using npm or Homebrew. Users can run Codex after installation and sign in with their ChatGPT account for enhanced functionality. The tool supports various platforms and offers configuration options to tailor user experience.

OpenAI has launched Codex, a coding tool designed for developers to delegate simple programming tasks to an AI agent that generates production-ready code. Accessible via the ChatGPT web app, Codex operates within a user’s development environment and can be customized through an “AGENTS.md” file for improved effectiveness. Built on a fine-tuned model, Codex leverages reinforcement learning to enhance its coding capabilities.

Codex is a cloud-based software engineering agent designed to assist developers by performing tasks such as writing features, fixing bugs, and generating pull requests in parallel. Available to various user tiers, it prioritizes security and transparency, ensuring users can validate outputs while mitigating risks associated with AI misuse. Early adopters like Cisco and Temporal have successfully integrated Codex into their workflows to enhance productivity and streamline development processes.

The article delves into a comparative analysis of OpenAI's Codex and Anthropic's Claude Code, focusing on their capabilities in code generation and natural language understanding. It evaluates their performance through various coding tasks and highlights the strengths and weaknesses of each model.