What happens when a company goes all in on AI?
At Shopify, engineers are expected to utilize AI tools, and theyâve been doing so for longer than most.
In this live episode from LDX3 in London. â recorded two weeks ago â I spoke with
@fnthawar, Head of Engineering, about how Shopify is building with AI across the entire stack.
Watch or listen:
⢠YouTube:
youtube.com/watch?v=u-3IILWQâŚ
⢠Spotify:
open.spotify.com/episode/3XTâŚ
⢠Apple:
podcasts.apple.com/us/podcasâŚ
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Five interesting things about Shopify and how they use AI:
1. They were the first-ever company outside Microsoft to use GitHub Copilot... well before it was released!
2. They have no "budget limit" on AI tool spending per engineer, or per team
3. They not only allow, but encourage using AI tools (e.g. a copilot) during their remote tech interview
4. Despite going "all-in on AI" they are not reducing headcount. In fact, they are going on an "intern hiring spree:" recruiting 1,000 interns across the company the next year (as context, the company hs 3,000 engineers - so this is a large number!)
5. They are starting to go big on MCP and already have around a dozen internal MCP servers, this number growing quickly.