Building a safe, effective sandbox to enable Codex on Windows
OpenAI describes the engineering work behind a secure sandbox environment for running Codex coding agents on Windows. The sandbox enforces controlled file access and network restrictions to enable safe, efficient agentic code execution. This is part of OpenAI's broader effort to deploy coding agents in production environments with appropriate isolation guarantees.
Related guides (4)
Related events (8)
Running Codex Safely at OpenAI
OpenAI published a blog post describing the security architecture used to run Codex as a coding agent internally, covering sandboxing, human approval workflows, network policies, and agent-native telemetry. The post is aimed at supporting enterprise adoption of coding agents by demonstrating safe and compliant deployment patterns. It provides operational detail on how OpenAI itself governs agentic code execution in production.
Unlocking the Codex Harness: How OpenAI Built the App Server
OpenAI published a technical deep-dive on the Codex App Server, a bidirectional JSON-RPC API designed to embed the Codex coding agent into external applications. The server supports streaming progress updates, tool use, human-in-the-loop approvals, and diff outputs. The post explains the architectural choices enabling developers to integrate Codex agent capabilities programmatically.
Codex Security: now in research preview
OpenAI has launched Codex Security in research preview, an AI-powered application security agent. It analyzes project context to detect, validate, and patch complex vulnerabilities with the goal of higher confidence and reduced false-positive noise compared to traditional tools. The product extends OpenAI's Codex brand into the security domain.
Introducing upgrades to Codex
OpenAI has announced upgrades to Codex, its AI coding agent, improving speed, reliability, and real-time collaboration capabilities. The updates extend Codex's reach across multiple development environments including terminal, IDE, web, and mobile. The announcement emphasizes both interactive collaboration and autonomous task execution.
Harness Engineering: Leveraging Codex in an Agent-First World
OpenAI published a technical post by Ryan Lopopolo describing how Codex is being used in an agent-first engineering workflow. The piece appears to cover practical patterns for integrating Codex into software development pipelines where AI agents take a more central role. As a Tier 1 source announcement, it likely details real-world engineering practices and lessons from deploying Codex at scale.
Codex for (almost) everything: OpenAI expands Codex app with computer use, browsing, image generation, memory, and plugins
OpenAI has updated its Codex desktop application for macOS and Windows with a broad set of new capabilities including computer use, in-app browsing, image generation, persistent memory, and plugin support. The update positions Codex as a more comprehensive agentic developer tool rather than a pure code-completion assistant. These additions bring Codex closer to a general-purpose AI agent environment targeting developer workflows.
Codex is now generally available
OpenAI has moved Codex to general availability, introducing a Slack integration, a Codex SDK, and enterprise-oriented admin tools including usage dashboards and workspace management. The release positions Codex as a scalable developer and enterprise product. These additions suggest OpenAI is targeting broader organizational adoption beyond individual developers.
Work with Codex from anywhere
OpenAI is extending Codex access to the ChatGPT mobile app, enabling users to monitor, steer, and approve coding tasks in real time from mobile devices and remote environments. This update brings Codex's agentic coding capabilities beyond desktop/web interfaces. The announcement positions Codex as a persistent, cross-device coding agent rather than a session-bound tool.