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>There are no uncertainties or misunderstandings here. The productivity gains are real and the code produced is more robust. Not in theory, but in practice.

So, that may be a fact for you but there are mixed results when you go out wide. For example [1] has this little nugget:

>The study identifies a disconnect between the high expectations of managers and the actual experiences of employees using AI.

>Despite 96% of C-suite executives expecting AI to boost productivity, the study reveals that, 77% of employees using AI say it has added to their workload and created challenges in achieving the expected productivity gains. Not only is AI increasing the workloads of full-time employees, it’s hampering productivity and contributing to employee burnout.

So not everyone is feeling the jump in productivity the same way. On this very site, there are people claiming they are blasting out highly-complex applications faster than they ever could, some of them also claiming they don't even have any experience programming. Then others claiming that LLMs and AI copilots just slow them down and cause much more trouble than they are worth.

It seems like just with programming itself, that different people are getting different results.

[1]https://www.forbes.com/sites/bryanrobinson/2024/07/23/employ...




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