one year on
Coinbase CEO Armstrong says he fired engineers who refused to adopt AI coding tools
In a podcast interview, Armstrong described ordering engineers to onboard with GitHub Copilot and Cursor by a weekend deadline and terminating those who didn't comply without a valid excuse.
Coinbase CEO Brian Armstrong has said he fired several engineers who failed to start using AI coding tools by a deadline he set — a disclosure he made this week on Stripe co-founder John Collison’s “Cheeky Pint” podcast.
Armstrong recounted that after Coinbase bought enterprise licenses for GitHub Copilot and Cursor, he was told it could take months just to get half the engineering team using them. Impatient, he says he “went rogue,” posting a message in the company’s engineering Slack telling everyone to onboard by the end of the week — or come to a Saturday meeting to explain why not. A few of those who showed up had no good reason, he said, and were let go. He concedes the approach was “heavy-handed,” but frames it as the way to make clear that adopting AI is not optional.
The remarks land in the middle of a broader corporate turn toward mandated AI use in engineering. Collison, on his own show, pushed on the practical question underneath it — how you actually run and maintain a codebase increasingly written by machines — a worry Armstrong said he shares.
The record
The Stripe co-founder, hosting Armstrong on his "Cheeky Pint" podcast, pressed on how a company keeps a handle on a codebase that AI is increasingly writing — a concern Armstrong said he shares.
One year later — open only if you can handle spoilers
Armstrong's Slack ultimatum became one of 2025's most-cited examples of the hard-line "adopt AI or leave" management style, and Coinbase only leaned in further: by early 2026 Armstrong put AI-written code at roughly 40% of the company's daily output and was pushing toward a majority. In May 2026 Coinbase cut about 14% of its staff — roughly 700 people — with Armstrong tying the restructuring to how much AI had changed the way the work gets done.
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