In my side hustle time, I use coding agents to explore what if projects I would otherwise never get to build.
At my day job, I use AI to fix config, container, and installation issues so I can spend my time coding instead of struggling to fix mostly other people's mistakes. And really, in this age of python wheels, containers, virtual environments, and fragmented APIs, the cognitive load of doing this by hand would shut me down for the day.
1.5 years in and I haven't burnt out. If anything, I'm ramping up. I'm no longer afraid of adding a web UI, or insane numbers of unit tests, or deploying other people's software.
What I'm not doing is using it to build products, but instead just doing so to augment the supporting stack. All of this is subject to change as the AI landscape evolves.
That's exactly what the article highlight might actually put your "competitors" (if you see others like that) in front of you, as focus and "what you actually did" becomes more important. Might be that while you shipped and experimented with 50 different APIs, your "competitor"/peer just did 3, but they were more carefully considered so the payoff ended up bigger/better, in whatever way that could be.
That's how I understood the article at least.
My biggest struggle is UI. I can make functional, but my design skills couldn't sell water to someone in death valley
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Ya this is exactly how I use it, the LLM does everything i don't want to do. Which is basically everything except the exact code im writing. Its very freeing to not have to worry or touch a jira ticket ever again. The LLM just does it for me.