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What is the AI vibe at work like for you?
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this post was submitted on 12 Dec 2025
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Our devs are implementing some ML for anomaly detection, which seems promising.
There's also a LLM with MCP etc that is writing the pull requests and some documentation at least, so I guess our devs like it. The customers LOVE it, but it keeps making shit up and they don't mind. Stuff like "make a graph of usage on weekdays" and it includes 6 days some weeks. They generated a monthly report for themselves, and it made up every scrap of data, and the customer missed the little note at the bottom where the damn thing said "I can regenerate this report with actual data if it is made available to me".
As someone who has done various kinds of anomaly detections, it always seems promising until it hits real world data and real world use cases.
There are some widely recognised papers in this field, just about this issue.
Once an anomaly is defined, I usually find it easier to build a regular alert for it. I guess the ML or LLM would be most useful to me in finding problems that I wasn't looking for.