Add 10 question walkthroughs and 6 patterns - #9
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Questions (the gaps on nearly every interview list): - Design Ticketmaster: seat holds, waiting room, no double-sell - Design a real-time gaming leaderboard: sorted sets, rank at scale - Design a proximity service (Yelp): geohash/quadtree, two-step reads - Design Google Maps: tiles, hierarchical routing, stream-fed ETAs - Design a food delivery app (DoorDash): order state machine, dispatch - Design a hotel reservation system: counted inventory by date - Design Zoom: UDP media, SFU topology, cascaded regional servers - Design a distributed message queue: build the partitioned log itself AI questions (extending the repo's differentiator): - Design an AI code assistant (Copilot): FIM, prefix caching, repo retrieval, the completions/chat workload split - Design an LLM gateway: routing, token-budget quotas, pre-first-token failover, metering off the hot path Patterns (24 -> 30): - Distributed transactions: 2PC vs sagas - Event sourcing and CQRS - Outbox pattern - Backpressure - Gossip protocol - Logical clocks: Lamport and vector clocks Wiring: all files listed in the root README (counts updated), the question and pattern catalogs, and 8 new glossary terms. New content cross-links existing patterns, questions, deep dives, and cheat sheets; deliberate pairings include Ticketmaster vs hotel reservation (identified vs counted inventory) and message queue vs backpressure. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Fills the question-catalog gaps and the missing patterns. 16 new files, plus catalog and glossary wiring.
8 classic questions that appear on nearly every interview list but were missing here: Ticketmaster, real-time gaming leaderboard, proximity service (Yelp), Google Maps, food delivery (DoorDash), hotel reservation, Zoom, and a distributed message queue (the build-it-yourself version). Deliberate pairing: Ticketmaster (identified seats) and hotel reservation (counted inventory by date) cross-reference each other as the two halves of the inventory-modeling decision.
2 AI questions extending the repo's strongest differentiator: an AI code assistant (the completions/chat workload split, fill-in-the-middle, prefix caching economics, repo retrieval) and an LLM gateway (token-budget quotas with estimate/reserve/settle, pre-first-token failover, metering off the hot path). AI section grows from 6 to 8 questions.
6 patterns interviewers probe constantly, taking patterns/ from 24 to 30 with no filler: distributed transactions (2PC vs sagas), event sourcing + CQRS, the outbox pattern, backpressure, gossip protocol, and logical clocks (Lamport and vector). Each ends with the interview framing the repo's pattern pages are known for.
Wiring: root README difficulty lists and counts, both catalog tables, and 8 new glossary terms (backpressure, CQRS, event sourcing, gossip, logical clock, outbox, saga, 2PC). Every file carries one Mermaid diagram and 3 to 8 internal links; new patterns are linked from the new questions that use them (food delivery uses the outbox, the message queue uses backpressure).
Checks: repo link checker passes across all 16 files and 4 catalog edits. No em dashes, per CONTRIBUTING. One diagram per file, all GitHub-renderable.