How Virgin Atlantic Ships Faster with Codex
Virgin Atlantic used OpenAI's Codex to accelerate development of its revamped mobile app, meeting a fixed holiday travel deadline. The deployment achieved near-total unit test coverage and zero P1 defects. This case study illustrates Codex being applied to a production software engineering workflow at a major airline.
Related guides (3)
Related events (8)
Sea Limited's CPO on Deploying OpenAI Codex Across Engineering Teams
Sea Limited's Chief Product Officer David Chen discusses the company's decision to deploy OpenAI Codex across its engineering teams to accelerate AI-native software development in Asia. The piece frames Codex as a tool for agentic software development workflows. This is a customer perspective piece published on OpenAI's blog, highlighting enterprise adoption of Codex in a major Southeast Asian technology conglomerate.
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.
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.
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.
How NVIDIA Engineers and Researchers Build with Codex
OpenAI published a case study describing how NVIDIA teams use Codex powered by GPT-5.5 to ship production systems and accelerate research experimentation. The piece highlights enterprise adoption of Codex as a coding agent in a major hardware/AI lab context. It signals continued real-world deployment of OpenAI's agentic coding tools at scale.
How Braintrust turns customer requests into code with Codex
Braintrust engineers are using OpenAI's Codex with GPT-5.5 to accelerate coding workflows and run experiments faster. The post describes how the team integrates Codex into their development process to convert customer requests into working code. This is a deployment case study highlighting practical use of OpenAI's latest coding-focused model in a production engineering context.
Introducing Codex
OpenAI has announced Codex, a new product or capability targeting software development and coding tasks. The announcement comes from OpenAI's official blog, suggesting a significant product or model release. The body content was not provided, but given the Codex name and OpenAI's history, this likely involves an AI-powered coding agent or updated code generation system. Further details on capabilities, pricing, and availability are expected in the full announcement.
How Ramp engineers accelerate code review with Codex
Ramp's engineering team has deployed OpenAI's Codex with GPT-5.5 to automate and accelerate code review workflows, reducing feedback time from hours to minutes. The case study highlights an enterprise deployment pattern where agentic coding tools are integrated into production software development pipelines. This represents a concrete example of GPT-5.5 and Codex being used in real-world enterprise settings.