Comment by Quothling

With opus 4.8 we're frankly aproaching the 100% of the work, but only if tasked by the right people. A decade ago I worked as an enterprise architect and left it because I preffered coding. Now I'm an enterprise architect again, and we're at the point where I've setup a Microsoft Fabric and integrated a ADLS Gen2 with a Lakehouse building Dimension and Fact tables for our Business Intelligence people with Cowork. A month ago I didn't know what Dimension and Fact tables were in a datawarehouse and now I've not only setup a flow for it I've made it more accurate than what they had before because I understood how BC365 worked and the previous consultants didn't.

We had a PoC in place to get fabric, it had like 500 hours allocated for what I did in a week with cowork, and my product is actually on secure vnet network with Azure identity security with both a test and a production environment delivering actual data.

Cowork even made the damn powerpoint slideshows for decision makers.

The single saving grace right now is that it apparently isn't easy for everyone to do this yet. But I didn't use a whole lot of my knowledge on software engineering to make any of it happen, not even the pandas and arrow code that moves the data behind the scenes. I mainly used my knowledge of NIS2 compliance and general data architecture in a step-by-step process. To me anyone with common sense should be able of doing this, and I really don't think I'm special... but then I teach other people AI at our company and they can barely get it to create a running program. Which is fine for now, but I have to work another 20ish years before I retire, and by then a lot of young people will have grown up with AI, and like I said, I'm not special. I think the only thing that differentes me is that I mash the buttons until it works but also have decades of security and compliance hammered into me.