Digs

Searching X architecture returns material written to be found by that query, which means tutorials and vendor pages. The material worth having was written by an engineer explaining a real system to their peers, and it uses different words. A dig is what comes back from going after that layer on one topic: the architecture reconstructed across real systems, the decisions and the conditions that flip them, what actually broke, and numbers you can plan against. Every claim is graded, linked and dated.

1 field guide 22 graded sources 3 postmortems 1 category

AI & LLM Systems 28 Aug 2026

The token stream stays up and the answers get worse

A field guide to the capacity decision in production LLM serving, reconstructed from the systems of Anthropic, OpenAI, Meta, DeepSeek, Moonshot AI, Character.AI and Perplexity, from three published incident re…

What surprised meThe failure that costs most is not the outage: Anthropic's postmortem and Meta's QCon talk independently describe inference bugs that degrade answer …

22 sources · 16 organisations · 3 postmortems 32 min read

llm-inferencekv-cachevllmcapacity-planningrouting