Asana Cleared Five Years of Engineering Backlog in Two Weeks Using OpenAI Codex

OpenAI published a case study detailing how Asana used its Codex agent to complete the equivalent of five years of accumulated engineering work in just two weeks. The deployment involved Codex autonomously handling large volumes of code tasks in parallel, dramatically compressing delivery timelines that would have been infeasible for human teams alone. This is one of the most concrete productivity benchmarks published for an agentic coding system at scale inside a real enterprise environment. For developers and engineering leads evaluating agentic coding tools, this case study provides a direct data point on throughput, task scope, and time-to-completion in a production setting. Teams building or adopting AI-assisted engineering workflows should examine how Asana structured task delegation and oversight to replicate this kind of throughput.