@GergelyOrosz: I don't think most people realize how complex and complicated agentic AI systems inside mid-sized and above companies a…

X AI KOLs Timeline 10/14/26, 01:57 PM News

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Summary

Gergely Orosz highlights the hidden complexity of agentic AI systems inside mid-sized and larger companies, noting limited AI context windows versus massive internal context, and teases an upcoming Pragmatic Engineer case study on Uber's 19 internal custom AI-related systems.

I don't think most people realize how complex and complicated agentic AI systems inside mid-sized and above companies are: by necessity, because there is SO MUCH context, but only so little AI contex windows. Case study on Uber's 19 internal, custom, AI-related systems coming later today in @Pragmatic_Eng So many of those "AI-related systems" are "systems pre-AI" that turned out to become extremely useful with AI. Like their PRD+ERD system that conveniently documents connections between the ~5,000ish internal systems inside the company!

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I don’t think most people realize how complex and complicated agentic AI systems inside mid-sized and above companies are: by necessity, because there is SO MUCH context, but only so little AI contex windows.

Case study on Uber’s 19 internal, custom, AI-related systems coming later today in @Pragmatic_Eng

So many of those “AI-related systems” are “systems pre-AI” that turned out to become extremely useful with AI. Like their PRD+ERD system that conveniently documents connections between the ~5,000ish internal systems inside the company!

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