I think it would depend on the project.    Debugging something that is very 
complex that fails in an unpredictable way can be demoralizing.   If 
experiments are expensive, other well-matched people could keep the ideas 
coming and either speed-up or slow-down the work as needed.   More people could 
also mean that short term memory was effectively extended.   Poorly-matched 
people would be a disaster – just breaking-up flow.   I think it makes 
absolutely no sense to compare two veteran developers who know and trust each 
other, and are the best at what they do, to some random project where a manager 
is floundering about trying to improve productivity by applying a gimmick he 
read about in a magazine.
From: Friam <[email protected]> on behalf of Russ Abbott 
<[email protected]>
Reply-To: "[email protected]" <[email protected]>, The Friday Morning 
Applied Complexity Coffee Group <[email protected]>
Date: Saturday, December 8, 2018 at 9:26 PM
To: FRIAM <[email protected]>
Subject: Re: [FRIAM] The Friendship That Made Google Huge | The New Yorker

What I found interesting was that they do so much of their work pair 
programming. I find it difficult to imagine writing software in that kind of 
relationship. I would guess that when I'm working on code, I spend no more than 
25% of the time actually typing things on the keyboard. The rest of the time is 
thinking, or pacing, or getting tea, or looking things up, etc. I don't know 
how that would work as part of a pair. And yet they are among the best coders 
at Google. Jeff Dean is legendary for his work. And the other guy is supposed 
to be just as good. How can they do that while bound together? Hard for me to 
understand.

On Sat, Dec 8, 2018 at 7:33 PM Tom Johnson 
<[email protected]<mailto:[email protected]>> wrote:
Interesting read on the history of computing.

https://www.newyorker.com/magazine/2018/12/10/the-friendship-that-made-google-huge
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