Sounds about right:

"Business users are spinning up AI agents left and right, feeling like they can build anything. Meanwhile, developers are stuck being the ‘reality police’ — trying to make these things actually work in production while secretly wondering if they’re automating themselves out of a job.

At the end of the day, many devs feel like they go through all this chaos … only to end up with a solution not that different from the software they’ve built before."

It’s also hell for IT. Teams build these side-flows in PowerApps or AI Agents or shadow-IT, then surprise us with demands for support when the vendor drops support for their product or deployment. It’s particularly insulting and frustrating given how much effort these companies make into knowingly bypassing IT decision-making in order to close a sale, then steer customers back to us after the fact.

User empowerment isn’t “getting rid of gatekeeping”, it’s making professional technologist’s lives an absolute hell. And like the post says:

> …trying to make these things actually work in production while secretly wondering if they’re automating themselves out of a job.

> These new primitives — semantic tracking, behavioral timelines, confidence governance — represent a fundamental shift in how we think about software. We’re not just versioning code anymore. We’re versioning intelligence, behavior, and decision-making.

I'm wondering how much of this will become obsolete on the next generation of LLMs which seems to be around the corner. I feel this is one of the bigger risks when trying to fix some of these fatal flaws LLMs have like the logical incoherence or lack of memory. If these get fixed it will probably change how we do things again.