Vicarious learning is a real thing: we absorb skills and knowledge by watching others, hearing about their mistakes, seeing what worked. This is why postmortems are such a great tool for building context, and seeing how other engineers problem-solve. I’ve been thinking about vicarious learning a lot lately, specifically about how engineers are learning to use AI. There’s no shortage of AI content out there: workflow breakdowns, productivity revelations, time-savings stats. But when I talk to engineers, I’m hearing that they haven’t found a clear path to the “aha” moments that actually make these tools useful, other than finding their way through trial and error. More worryingly, I’m noticing a widening gap between people who are enjoying AI tools and people who feel like they’re falling behind. If these tools really are the future (and despite my reservations, I think they are), I don’t want anyone to get left behind. The loudest evangelists tend to skew toward a pretty specific…
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