A C-level executive I know is getting a top-of-the-line new Mac simply to function as a personal build server and host for agentic coding instances - they are able to orchestrate so many parallel projects that they're hitting RAM limits from sessions and the builds and local test runs they're kicking off (largly unsupervised). Before AI, they'd only had a MacBook Air; this completely changes their workflows. They talk about how many other executives they've met are equally giddy at having gone from coding few to no projects themselves, to coding more projects in parallel than any of their respective pre-AI technical colleagues.
I'd suspect that agentic coding has birthed so many new effective engineers, that the entire dynamics of demand for high-end machines have been upended.
ram? coding instances? i suspect this is not doing any inference on the machine and i also suspect the ram use is due to a bagilion node/python processes running.
nothing like 600mb of for type check server another 500 for webpack and another 600 for the inevitable electron wrapper you didnt know about. python isnt as bad but still not great.