They were right, it's hit 100% at a number of large tech companies. (They missed their initial prediction of 90% 6 months ago, because the models then available publicly weren't capable enough.)
At many of the best tech companies, the conventional wisdom has always been that there's a huge backlog of stuff to be done. They don't want to deliver 100% of their roadmap with 50% of their employees, they want to deliver 200% of their roadmap with 100% of their employees. (And the speedup is not as high as these numbers imply for many kinds of performance, security, or correctness-critical software.)
Some companies like Block, Oracle, and Atlassian have indeed been laying people off.
The transition is pretty complete at e.g. Google and Meta, IIUC. Definitely whoever builds the AI tools you're using every day isn't writing code by hand.
That was a prediction. It was not a claim of their current capabilities. If that is the one you reach for then I feel my point has been made.
They were right, it's hit 100% at a number of large tech companies. (They missed their initial prediction of 90% 6 months ago, because the models then available publicly weren't capable enough.)
So why aren’t they laying people off and pumping the extra money towards research efforts associated with Llm’s? Lmao.
They should all cut down their labour input right now if what you claim is true.
Have you considered that some companies want to grow instead of laying people off? No one at Anthropic writes code, they manage 20 Claude Code SWEs.
At many of the best tech companies, the conventional wisdom has always been that there's a huge backlog of stuff to be done. They don't want to deliver 100% of their roadmap with 50% of their employees, they want to deliver 200% of their roadmap with 100% of their employees. (And the speedup is not as high as these numbers imply for many kinds of performance, security, or correctness-critical software.)
Some companies like Block, Oracle, and Atlassian have indeed been laying people off.
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Please tell me those companies so I can find alternatives. I'm using AI every day and there's no way I would trust it do that.
The transition is pretty complete at e.g. Google and Meta, IIUC. Definitely whoever builds the AI tools you're using every day isn't writing code by hand.
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