... prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel. What type of developer are you when working with AI coding agents? For context, when @Kilo Code launched their new @VS Code extension last week , with parallel agents, inline diff reviewer, and multi-model comparisons, some users actually wanted more control back. While the team is working on multiple improvements , like better diffs before you approve and permission flow fixes ... ... work in the next few years. For me, the best way to use AI coding agents is as collaborative engineers, not autocomplete tools. I usually split work like this: I let the agent handle boilerplate, refactors, debugging, and exploring alternatives

... long compared to Claude. Users feel too zoomed out from the work. By contrast, Cursor and IDEs are starting to feel too zoomed in. When the majority of code is written by agents, an editor-first UI is a misfit. We've had zoom level mismatches with Tonkotsu as well, and when we dug into it, the usage data was contradictory, suggesting that users wanted us to both zoom in and zoom out. We scratched our heads ... ... that the user is confident that progress is being made. More here https://blog.tonkotsu.ai/p/the-t... I'm curious what you are seeing play out in your experience, as either users or builders of agents? What products feel too close vs

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