Keeping up has always been part of the job for software engineers, and with AI it's harder than ever. In this episode, I talk about two signals that you, your coworkers, or the people you manage might have a regressive mindset, which shows up as quietly avoiding the learning you need to stay current.
Keeping up has always been part of being a software engineer, and right now it's harder than ever. A lot of us are tired, skeptical, or just overwhelmed by the constant stream of AI news, and it's easy to slide into habits that slowly cut us off from new information. In today's episode, I talk about two signals to watch for in yourself, your coworkers, or your reports that point to a regressive mindset. That's a pattern of avoiding progress and learning, often without realizing you're doing it.
What a Regressive Mindset Actually Is: A progressive mindset doesn't require jumping on every new tool or throwing out your whole toolset. Constant upheaval isn't progress. What matters is that your understanding of the world keeps growing. The regressive mindset shows up as avoiding learning and leaning on defense mechanisms that shield you from more nuanced information.
Signal #1: Avoiding Information by Category: Watch for the moment you click away from an article or video just because it mentions AI or agents. You don't have to read everything, but if you're skipping things purely because of the subject, it's worth figuring out why. Fatigue might mean you need a break. Skepticism or discomfort is a different story.
The Ostrich Effect: Avoiding uncomfortable information is a lot like sticking your head in the sand. It feels protective, but over time it leaves you behind and out of touch with what it takes to stay competitive as the industry changes.
What Is Your Alternative Path?: If your plan is to keep avoiding this information, ask yourself honestly what that looks like a year or five years from now. I'd argue that avoiding it forever just isn't possible.
Signal #2: Tying a Concept to a Person: Many organizations have one or two people carrying the flag for AI adoption. If "the AI enthusiast" has become the whole of what that person means to you, you may be dismissing everything they say, even on topics that have nothing to do with agents.
The Flip Side and Fundamental Attribution Error: The same trap works in reverse. If you don't trust someone, you may throw out good information simply because they're the one bringing it. This is closely related to fundamental attribution error, where we explain someone's choices by who they are and judge the information by the messenger.
Episode Homework: This week, notice when you skip, dismiss, or tune out information. Ask yourself whether it's because of the topic or the person sharing it, and what your long-term alternative really is.
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