Beyond rate limits: scaling access to Codex and Sora
OpenAI published a technical blog describing how it built a real-time access management system for Sora and Codex, combining rate limits, usage tracking, and credits to enable continuous, scalable access. The post details the infrastructure and policy mechanisms underlying production access to two high-demand products. This represents an operational engineering disclosure about how OpenAI manages capacity and fairness at scale.
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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.
How We Used Codex to Ship Sora for Android in 28 Days
OpenAI used its Codex AI coding assistant to ship the Sora Android app in 28 days, leveraging AI-assisted planning, code translation, and parallel coding workflows. The case study highlights how a small team achieved rapid mobile development by integrating Codex throughout the engineering process. This serves as a concrete internal deployment example of agentic coding tools accelerating software delivery.
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.
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.
OpenAI models and Codex available through Oracle Cloud infrastructure commitment
OpenAI announced that its models and Codex are now accessible through Oracle Cloud Infrastructure, allowing enterprise customers to consume OpenAI services against existing Oracle cloud spending commitments. The partnership enables enterprise-grade security and governance controls for AI deployment. This extends OpenAI's distribution reach into Oracle's large enterprise customer base.
Scaling Codex to enterprises worldwide
OpenAI is launching Codex Labs and forming partnerships with major consulting and IT firms including Accenture, PwC, and Infosys to accelerate enterprise adoption of Codex across the software development lifecycle. The announcement reports 4 million weekly active users for Codex. This represents a significant push to embed OpenAI's coding AI into large-scale enterprise workflows through established system integrators.
Launching Sora Responsibly: OpenAI's Safety Approach for Sora 2 and the Sora App
OpenAI has published a safety-focused announcement accompanying the launch of Sora 2 and the Sora social creation platform. The post outlines concrete safety protections built into both the model and the app to address novel risks posed by a state-of-the-art video generation system. The framing positions safety as foundational to the product design rather than a post-hoc addition.