A lot of engineers talk in exalted terms about the feeling of power this gives them. I’ve heard the phrase: “it’s like being the conductor of an orchestra.” I wonder if it will still feel that way when the novelty wears off and the work of supervising and dealing with agents is just another branch of working life. Professor Ethan Mollick calls management an “AI superpower”, but it seems to me that you might also call it an AI chore, something we will have to do even if we don’t want to, that’s by turns draining, frustrating and stressful, and creates as much work as it is supposed to eliminate. As the authors of a recent study put it: “AI Doesn’t Reduce Work—It Intensifies It”.
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Context must be code-aware. "Doc rot" is a major problem because there are no obvious triggers when a doc is out of date. Codebase context is most vulnerable, because every commit can change the underlying context in subtle ways. To manage this, we can directly map context about the codeebase to the code itself. This creates a feedback loop that keeps our code and context in sync.