Starting from a multi-system integration experience, this essay distinguishes creation, task efficiency, organizational productivity, and business value—and asks where value and cost actually come from when AI enters a complex system.
Short
5 min read
Part of the column “Engineering & AI Judgment” · Chapter 10
Six independently published skins, aggregate bundle loading, avatar identity convergence, partial-install fallback, and a clean uninstall boundary for DSH Web.
A practical account of developing and debugging ChatLab, Agent Suite, and Quota Router, covering DSH plugin mechanics, common preview-version stability problems, and the boundaries that are easiest to get wrong when building plugins yourself.
DSH has been out only a few days, and I've already installed nine plugins on it. Notes on what each one fills in, how it works, and which one is the most useful.
Using a base-plus-skin architecture to give the DSH Web GUI a switchable, uninstallable Feishu-style chat skin that touches no existing plugin: workspaces become project groups, sessions become contacts, and the chat becomes bubbles.
A position paper based on the author's experience driving AI infrastructure and pilots in a real engineering organization: it proposes four kinds of boundaries—context, responsibility, authorization, and measurement—and offers a falsifiable pilot protocol plus a minimal harness as a demonstration of putting them into practice.
A research synthesis and position paper: defining engineering productivity as a continuously shortening "propose change — get trustworthy feedback — correct safely" loop, with metrics, a default path, and a falsifiable pilot protocol.