AI etiquette: respect for readers’ time and accountability for output
The author says coding agents shifted their role from developer to reviewer within months—but warns that using agents poorly can create more friction than acceleration.
TLDR
In an essay on workplace AI, a developer says trying newer coding agents on a project in February 2026 changed their experience after earlier disappointment. Their argument: effective AI use still requires people to communicate ideas they deeply understand. The essay proposes two ground rules—prioritize the time of people consuming your output, and stay accountable for what you produce. As the author puts it: “You break it, you fix it.”
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