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FieryTransition | 19 days ago

And Unix was mainly made by two people, it's astounding that as I get older, even tech managers don't know "the mythical man month", and how software production generally scales.

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caminante|19 days ago

> And Unix was mainly made by two people

Speaking of myths, they were part of a team of 4-5 early contributors with the benefit of network effects via Bell Labs.[0]

[0] https://en.wikipedia.org/wiki/Unix#History

FieryTransition|11 days ago

Thanks, I learned something, but the original point stands, 5 people is still not a lot and well within the scale where you could manage things within the team yourself without dedicated management and have first hand information flow.

MyHonestOpinon|19 days ago

I do agree with this idea in the sense that companies keep trying to add people to projects to do more things or complete projects sooner which ends up wasting a lot of effort. A more cost conscious way is to have smaller teams and let them more time to explore better approaches for longer.

thunky|19 days ago

Sorry but 99.999% of developers could not have built Unix. Or Winamp.

Managers are crossing their fingers that devs they hire are no worse than average, and average isn't very good.

gamblor956|19 days ago

Not today's programmers, no.

The side effect of a massively increased programmer labor population is that the average skill of the group plummeted.

But back then? Most programmers would not have tried but a substantial portion would have been able to if they did.

eqvinox|19 days ago

> Sorry but a 99.999% of developers could not have built Unix. Or Winamp.

> Managers are crossing their fingers that devs they hire are no worse than average, and average isn't very good.

The problem is that that's the same skill required to safely use AI tools. You need to essentially audit its output, ensure that you have a sensible and consistent design (either supplied as input or created by the AI itself), and 'refine' the prompts as needed.

AI does not make poor engineers produce better code. It does make poor engineers produce better-looking code, which is incredibly dangerous. But ultimately, considering the amount of code written by average engineers out there, it actually makes perfect sense for AI to be an average engineer — after all, that's the bulk of what it was trained on! Luckily, there's some selection effect there since good work propagates more, but that's a limited bias at best.

sdf2erf|19 days ago

Thats because the distribution of developer quality and capability is skewed.