This feels like the monolith vs. microservices debate all over again, just one layer up the stack.With a monolith, one bad deploy can take down the whole app. With microservices, you isolate the blast radius but pay for it in coordination overhead. I think the same trade shows up with agents, but the cost that matters most to me isn’t…

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t if we look one step ahead, the real shift is moving from <b data-path-to-node=”12,1″ data-index-in-node=”61″ style=”text-wrap-mode: initial; background-color: transparent;”>”AI as a worker” to “AI as organizational memory. When an agent sits across systems, it stops being a task runner and starts becoming a repository of…

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With a normal feature, a mistake is a wrong number on a screen. With an agent, it’s an email already sent or a payment reminder already fired off. Picture an invoicing tool that automatically sends a firm reminder to a customer who’s been loyal for years. The agent can be right about the data and still wrong about the relationship.

I’d judge…

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