1Password has integrated Codex across the software delivery lifecycle to compress the time between planning and production, allowing it to build new features at a rapid pace. The 1Password team has cut median pull request cycle time by nearly 11% and improved engineering productivity by almost 21% for its core user cohort. Based on engineering's results, 1Password's leadership team is expanding access to Codex to other functions, enabling teams such as finance and marketing to build their own tools and features. Throughout, 1Password maintained its rigorous security standards, ensuring there's no tradeoff between increasing its speed and protecting its data.

“What’s been really eye-opening for a lot of our engineers is shortening the lifecycle between planning and being able to see a feature in production.”—Nancy Wang, CT O, 1Password

1Password is using Codex to move ideas from planning to implementation faster, helping engineers turn well-defined user stories into working features. “Previously, you would go into a project, think about how to break it down into different sprints, and assign different sprints to engineering scrum teams,” explains Nancy Wang. “With Codex, you can actually one-shot, going from an idea to a prototype to a feature that works fully in production.” This work has resulted in numerous new features, including Knox, a fully agentic frontend design system, an internal AI site reliability engineering agent, and an AI spend management tool.

Codex touches every step from planning to production: planning and technical design, implementation across stacks, pull request review, testing and release readiness, security and access, and production investigation. Modeled annual engineering capacity value: $783,750, based on 50 consistently active Codex developers, a $250,000 fully loaded annual cost per developer, 20.9% measured productivity improvement, 40% directional Codex attribution, and 75% realization of productive capacity. As 1Password integrated Codex, engineering teams recorded a 20.9% productivity improvement and a 10.9% reduction in median pull request cycle time.