Coinbase says artificial intelligence has become central to how its engineering organization operates. According to Cointelegraph, Coinbase platform lead Rob Witoff said 95% to 100% of the company’s code is now either written by AI or completed with AI assistance, up sharply from an estimated 40% in February. He also said nearly all employees at the company use AI every day.
Witoff drew a line between areas where automation has advanced quickly and areas that still rely on human engineers. Prototype development, he said, is now fully automated, while core cryptographic work is still primarily written by people. The company has also reorganized around smaller, more senior teams, with 2 to 3 people now able to handle work that once required more than 10.
The comments come after Coinbase cut 700 jobs in May, or 14% of its workforce. CEO Brian Armstrong said AI has dramatically changed the company’s pace of work and that Coinbase needs to return to startup-level speed and focus with AI at the center. Witoff added that most engineers run 5 to 10 AI agents at the same time, and that those agents collectively deliver coding output equal to about 1,200 employees. He expects AI agents could eventually perform work equivalent to 100,000 employees by 2030.
Coinbase platform lead Rob Witoff said 95% to 100% of the company’s code is now written by AI or produced with AI assistance, according to Cointelegraph. He said that figure has roughly doubled from an estimated 40% in February.
Witoff also said about 100% of Coinbase employees use AI every day. He added that core cryptographic coding is still mainly done by humans, while prototype development has already become fully automated.
Coinbase cut 700 employees in May, representing 14% of its workforce. CEO Brian Armstrong said AI has “dramatically” changed the pace of work and that the company needs to “get back to startup speed and focus, with AI at the center.”
Witoff said the company has reorganized teams around smaller, more senior staff. In his description, 2 to 3 people can now complete work that previously required more than 10. He also said most engineers run 5 to 10 AI agents at the same time, and that those agents collectively handle coding output equal to about 1,200 employees. He expects AI agents to eventually perform work equivalent to 100,000 employees by 2030.
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