This might sound like snark, but I truly don’t mean it that way.

I think what’s interesting about AI, and why there’s so much conversation, is that in order to be a good user of AI, you have to really understand software development. All the people I work with who are getting the most value out of using AI to deliver software are people who are already very high-skilled engineers, and the more years of real experience they have, the better.

I know some guys who were road warriors for many years —- everything from racking and cabling servers, setting up infrastructure, and getting huge cloud deployments going all the way to embedded software, video game backends, etc. These guys were already really good at automation, seeing the whole life cycle of software, and understanding all the pressure points. For them, AI is the ultimate power tool. They’re just flying with it right now. (All of them also are aware that the AI vampire is very real.)

There’s still a lot to learn, and the tools are still very, very early on, but the value is clear.

I think for quite a few people, engaging with AI is maybe the first time ever in their entire career they are having to engage with systems thinking in a very concrete and directed way. Consequently, this is why so many software engineers are having an identity crisis: they’ve spent most of their career focusing on one very small section of the overall SDLC, meanwhile believing that was mostly all there was that they needed to know.

So I think we’re going to keep talking for quite a while, and the conversation will continue to be very unevenly distributed. Paradoxically, I’m not bored of it, because I’m learning so much listening to intelligent people share their learnings.