Asana leveraged OpenAI Codex to overhaul an antiquated testing system, accomplishing in just two weeks what had previously required five years of engineering effort. The project cost approximately $12,000, demonstrating a rapid and cost-effective solution to a long-standing technical challenge.
OpenAI Codex is now generally available with powerful new features for developers: a Slack integration, Codex SDK, and admin tools like usage dashboards and workspace management—making Codex easier to use and manage at scale.
We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today.
OpenAI launches Codex Labs, partners with with Accenture, PwC, Infosys, and others to help enterprises deploy and scale Codex across the software development lifecycle, and hits 4M Codex WAU.
Codex is a cloud-based coding agent. Codex is powered by codex-1, a version of OpenAI o3 optimized for software engineering.
OpenAI shipped Sora for Android in 28 days using Codex. AI-assisted planning, translation, and parallel coding workflows helped a nimble team deliver rapid, reliable development.
A detailed look at how OpenAI teams use Codex to understand code, refactor systems, improve performance, boost velocity, and enhance engineering workflows.
Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation.
Asana used GPT‑6 Astra in Codex to reduce the cost of its browser agent by 76 times and increase its speed by five times in tests. The improvement allows the company to provide customers with more capable models at a lower cost and faster performance.
Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.
Watch a webinar on using Codex across the software development lifecycle.
OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use. Customers can get started with OpenAI on AWS and move faster from evaluation to production.