After automation: your AI chat logs become your most valuable curriculum
every · x · 2026-10-01
Lee Knowlton, a software engineer at Every, explores what learning looks like after AI automation. He concedes the "brain mush" risk is real—essays prompted rather than written, code vibed straight to production—people can produce sophisticated work without knowing how or why.
But there's an opportunity: working with AI generates chat logs and drafts that record our decisions, revisions, questions, and errors—game tape we can learn from. Like a team reviewing a match and designing drills around mistakes, we can use that record with AI as a coach to decide what to practice next.
A permissions bug that caused a headache becomes a lesson grounded in our own codebase; if we still don't understand after reviewing the tape, we can keep asking until we do—no workmate would have an agent's patience or context.
His conclusion: the AI that helps us complete our work can become our most valuable curriculum, if we choose to study it.
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