I see your point, but this feels like a difference in workflow philosophy, especially with AI-assisted coding becoming more common.
With jj, your working copy is always a commit. This encourages a "commit often and messy, clean up later" approach. You can rapidly iterate with or without AI, letting jj automatically save every change without stopping to craft perfect atomic commits.
Later, you use a simple jj squash to combine all those small, iterative changes into logical, clean commits before you share it. The atomicity is created retroactively, not upfront. For a finely-tuned magit workflow this might feel wrong, but for rapid, exploratory and AI-driven iteration, it's a more natural fit.
With AI there’s even more reason to have ergonomic splitting if you care about quality commits, since unless you always write the perfect focused prompt, AI can over-generate for the scope of a single commit, so sooner or later you need to split that commit during the cleanup process you mentioned.
With jj, your working copy is always a commit. This encourages a "commit often and messy, clean up later" approach. You can rapidly iterate with or without AI, letting jj automatically save every change without stopping to craft perfect atomic commits.
Later, you use a simple jj squash to combine all those small, iterative changes into logical, clean commits before you share it. The atomicity is created retroactively, not upfront. For a finely-tuned magit workflow this might feel wrong, but for rapid, exploratory and AI-driven iteration, it's a more natural fit.