The test they (supposedly) ran with their coworkers to look at PRs from both is such a bad way to compare LLMs that I don’t think they’re very experienced with using them.
It's marketing
I remember using GitHub Copilot (OpenAI "Codex" mk1) in Aug 2021 (ChatGPT would launch a year later 2 weeks after Meta's botched Galactica release). Cursor & others took it and ran a mighty good race.
I'm sure they could also negotiate a similar deal with OpenAI but in my outsider experience it seems that negotiations around these kind of corporate contracts takes forever and when the selling point is "they're broadly pretty similar" I suspect the motivation isn't there.
“Our competitive advantage is that we believe them,” I’ve read—wonder if that’s still a [prevailing] sentiment.
(Edit - context was probably using SotA models instead of being limited to local open source only)
It was barely marketed. I always turned copilot off, never found any benefit from Cursor. Claude Code was vastly different in conception, function, and capability, a product that defined an entirely new category of product.
Perhaps to others, that found copilot or cursor useful, it was merely marketing. But to me it was function and productivity, that I had never seen before.
People try to dismiss these things as LLM wrappers, but the LLM will be commoditized, and the wrapper will be where the real product design goes and where the real differentiation happens. Owning that unique process of communication between the dev and what the dev wants, figuring out the most stuff with the least complete spec, and maximizing every bit of the very tiny communication channel between the dev and the LLM and the code on disk, that's where 2026 and 2027 will be focused, until the next category defining product is created.
This was a push of the technical frontier, not a marketing achievement.
fwiw nobody "marketed to me". I picked Claude because friends were using it with great success and they helped me get started with suggestions on prompt style. Before that I'd played around with various LLMs for coding but not done any actual production work.