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A reading room for system design

How the hardest systems are actually built.

A curated archive of engineering writing from Netflix, Meta, AWS, Cloudflare, Stripe, and others — distilled into concepts, patterns, and systems you can actually cite.

1,178Articles read
178Distilled
568Concepts
405Patterns
523Systems
16Companies
  1. 2024-02-15Fly.io — Globally Distributed Object Storage with TigrisFLYIO
  2. 2025-01-17Scaling Large Language Models for e-Commerce: The Development of a Llama-Based Customized LLM
  3. 2026-04-17Shared Dictionaries: compression that keeps up with the agentic web
  4. 2026-04-21Figma — Server-side sandboxing — Containers and seccompFIGMA
  5. 2026-04-17Cloudflare — Agents that remember: introducing Agent Memory
  6. 2026-04-21Cloudflare — Moving past bots vs. humansCLOUDFLARE
  7. 2026-02-11Google Research — Scheduling in a changing world: Maximizing throughput with time-varying capacityGOOGLE
  8. 2025-10-30Toward provably private insights into AI use (Google Research, 2025-10-30)
  9. 2024-08-15We're Cutting L40S Prices In HalfFLYIO
  10. 2025-02-14We Were Wrong About GPUsFLYIO
  11. 2026-04-16Building the foundation for running extra-large language models
  12. 2024-03-07Fly.io — Fly Kubernetes does more now (FKS beta)FLYIO

How this works

An ingestion pipeline pulls engineering blog posts from ~30 company feeds, de-duplicates them, and runs each through a curator agent that distills the piece into structured notes and cross-links it against the existing concept graph. See the overview for the full methodology and corpus stats.

The LLM-readable catalog mirrors every page for agent consumption.

Last updated · 178 distilled / 1,178 read