Comment by freedomben

I'm not in the group you described so I don't want to speak for them, but I can empathize because there are some things that are meaningfully different with AI:

1. Increased velocity makes rituals like daily standup and other comms relatively infrequent compared to how they used to be, so there are fewer touch points now. For example a daily standup might have been occuring several times while someone worked on one feature ticket, but now they can bang out multiple features a day plus some bug fixes, but still only have the daily touch point.

2. AI written code needs to be thought through and planned a lot more than human written, because the machine doesn't go through the same discovery/writing process that a human goes through. It looks superficially similar, but is subtlely and importantly different.

3. Without solid planning and requirements definitions, it's a lot easier for AI to go off the rails and do something you don't ultimately want. That wasn't true for humans writing code because they have a lot of project context knowledge that helps a great deal. AI obviously doesn't have this.

4. With the intense speed of devs now thanks to AI, it's far easier to step on each other and end up with at best merge conflicts, at worst significant deviation in solutions, and often major refactors/overhauls that can make the codebase feel foreign and confusing to devs. Most people have had the experience of stepping away from a project and coming back after a refactor had been done, and realizing that they don't know where basic things even are anymore. It can be unsettling and add a lot of friction.

5. AI can be pretty good (and very fast) at producing documentation and plans, so the "cost" of planning before coding is a lot lower now. That changes the equation of "what is the most important thing to spend my time on to iterate quickly".