System design for a complete AI Software Engineer platform: bird's eye architecture, design principles, technology selection, capacity planning, platform data model, and three deep dives from 300ms autocomplete to autonomous app building. Covers context engines, model gateways, agent loops, sandboxes, multi-model routing, long-running memory, crash recovery, multi-agent orchestration, multi-tenant isolation, and an end-to-end walkthrough.
Algorithm patterns & code templates
End-to-end architecture problems
Design patterns & practical code
Deep dives into core tech
Production systems & operations
Consensus, replication & more
Kernel, networking & system calls
Quick reference cards for interviews
ADRs and trade-off analysis
Internal platforms & DX
Postmortems & reliability
Technical leadership & influence
Staff/principal level prep