Application Refactoring
In order to modernize its frontend stack, Asana needed to finish a long-running code migration that was still years from completion. At its prior pace—with only a few engineers working on the migration incrementally alongside other priorities—Asana projected that it would take roughly five more years to complete.
Reported impact
After 1.5 weeks of engineering effort spread across two calendar weeks, Enzyme was fully removed. The work also delivered benefits beyond the framework migration itself, improving test coverage, fixing poor-quality tests, and cleaning up legacy testing infrastructure.
In order to modernize its frontend stack, Asana needed to finish a long-running code migration that was still years from completion. At its prior pace—with only a few engineers working on the migration incrementally alongside other priorities—Asana projected that it would take roughly five more years to complete. With Codex, Asana completed the project in about two weeks. Asana helps teams coordinate work. Its platform uses AI agents and automations to help customers manage, track, and execute that work. Asana brings the same approach to its engineering organization, where people use OpenAI Codex, powered by frontier models, to tackle large codebase changes, then review and approve each proposed change.
Asana helps teams coordinate work. Its platform uses AI agents and automations to help customers manage, track, and execute that work.
After 1.5 weeks of engineering effort spread across two calendar weeks, Enzyme was fully removed.
Asana helps teams coordinate work.
For this project, Codex helped Asana’s engineers remove Enzyme(opens in a new window), an outdated testing system that had made the company’s code harder to upgrade.
In order to modernize its frontend stack, Asana needed to finish a long-running code migration that was still years from completion.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
OpenAI Sample Oct 9, 2026 Asana Asana needed to cut the cost and latency of its StackAI browser agent so it could offer customers more capable models for browser-driven workflows without unsustainable operating expense. $0.47 average estimated model cost with the optimized GPT-6.1 Sol workflow Codex · Command · GPT-6 Astra OpenAI Sample Oct 8, 2026 Braintrust Braintrust wanted to respond to customer feature requests faster and run more engineering experiments, but slower coding tools and backlog-driven workflows made it costly to turn feedback into working prototypes in real… 50% of the Braintrust team moved to Codex in one month Codex · GPT-5.5 OpenAI Sample Oct 8, 2026 Notion When the feature request came in, Notion's mobile app already had a functional version, but the desktop and web client didn't. Even though Ryan wasn't entirely sure how the feature worked on mobile, he was able to give… "Whenever I need to research a task, fix a bug, or make a little tweak, Codex is just there, ready and willing.… Codex 