The "AI is gonna make programmers more massively more efficient myth" is hitting reality. And not surviving.

https://garymarcus.substack.com/p/sorry-genai-is-not-going-to-10x-computer

Sorry, GenAI is NOT going to 10x computer programming

Here’s Why

Marcus on AI

@tante You cannot deconstruct the origins of "10x" often enough.

> The original study that found huge variations in individual programming productivity was conducted in the late 1960s by Sackman, Erikson, and Grant (1968). They studied professional programmers with an average of 7 years’ experience and found that the ratio of initial coding time between the best and worst programmers was about 20 to 1; the ratio of debugging times over 25 to 1; of program size 5 to 1; and of program execution speed about 10 to 1. They found no relationship between a programmer’s amount of experience and code quality or productivity.

source: https://www.construx.com/blog/productivity-variations-among-software-developers-and-teams-the-origin-of-10x/

Productivity Variations Among Software Developers and Teams The Origin of 10x | Construx

Some people have asked for more background on where the "10x" name of this blog came from. The gist of the name is that researchers have found 10-fold

Construx
@leitmedium @tante Is the study and the other linked sources not supporting the 10x claim rather than deconstructing it? (or did I miss(understand) some relevant context here?)
@simulo @tante It was a bit misleading, yes. The source from tante relies on the core idea of 10x as people with high outcome. The original study also stresses out that there is this phenomen while you can argue that this might also be a capitalists dream of measuring peoples output. If I remember correctly the initial studies were based on interviews of managers of coding people...
@leitmedium @simulo @tante and wasn't there this "Coding War Games" survey started in 1977 which somehow did show individual difference by an order of magnitude not being related by language, experience or salary and did not find this astounding. Much more of note was, they found that "It mattered a lot who your pair mate was.". And also that " The top performers' space is
quieter, more private, better protected from interruption, and there is more of it." https://www.gwern.net/docs/cs/2001-demarco-peopleware-whymeasureperformance.pdf