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OKX founder and CEO Star Xu said AI workflows now substantially handle roughly 95% of the company’s engineering pull requests. Engineers focus on review, testing and approval, with the work running through OKX’s internal AI platform, Oni.
Why it matters
Xu described AI as core infrastructure at OKX, rather than an experimental tool. The workflow shifts much of the production work to AI while keeping engineers responsible for checking and approving changes.
Market impact
OKX’s bill from model providers reached about $10 million last month. Xu said the company is pushing for more disciplined usage, putting cost management alongside adoption as AI becomes embedded in engineering.
Frequently asked questions
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What share of OKX engineering pull requests are substantially handled through AI workflows?
Star Xu said roughly 95% are substantially handled through AI workflows.
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What is OKX’s internal AI platform called?
OKX’s internal AI platform is called Oni.
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What do OKX engineers do when AI handles much of the pull-request work?
Engineers focus on reviewing, testing and approving the work.
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How much did OKX spend on model providers last month?
Xu said OKX’s bill from model providers reached about $10 million last month.
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How is OKX responding to its AI model costs?
Xu said the company is pushing for more disciplined usage.
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