> This gap between perception and reality is striking: developers expected AI to speed them up by 24%, and even after experiencing the slowdown, they still believed AI had sped them up by 20%.
I wonder what could explain such large difference between estimation/experience vs reality, any ideas?
Maybe our brains are measuring mental effort and distorting our experience of time?
What if agentic coding sessions are triggering a similar dopamine feedback loop as social media apps? Obviously not to the same degree as social media apps, I mean coding for work is still "work"... but there's maybe some similarity in getting iterative solutions from the agent, triggering something in your brain each time, yes?
If that was the case, wouldn't we expect developers to have an overly positive perception of AI because they're literally becoming addicted to it?
I would think this could contrast with agentic coding, where the AI keeps generating code, and then you iterate on this process to get the AI to fix its mistakes. With normal human code review, it takes longer to get revisions and can feel like a slog. But with AI that's a much tighter loop, so maybe developers feel extra productive from all these dopamine hits from each interaction with the agent.
When manually coding and in flow state I'd think it's a more consistent level of arousal, less spiky. Probably varies by person and coding style though, which might also explain why some people love TDD and others can't stand it?