intermediate96 lessons · 15 chapters

System Design: Beyond the Prompt

As agentic coding tools take over more and more of the actual typing, the engineer's job is shifting — less time hand-writing implementation, more time deciding what the system should look like in the first place: the trade-offs, the failure modes, the architecture an AI assistant can't choose for you. This is a complete, from-scratch path through that discipline — 15 chapters and 65 lessons from first principles through databases, caching, consensus, microservices, and security, each chapter closing with a scored quiz and a set of interview questions with model answers.

system-designarchitecturedistributed-systemsscalabilityinterview-prep

prerequisites

  • Comfort building basic applications (any language, any stack)
  • No prior system design or distributed systems experience required
  • Curiosity about why production systems are built the way they are

you'll learn

  • Reason about requirements, back-of-envelope estimation, and trade-offs like an architect, not just a coder
  • Choose and scale the right data layer — SQL vs NoSQL, indexing, replication, and sharding
  • Design caching, load balancing, and rate limiting for systems under real traffic
  • Apply the CAP theorem, consistency models, and consensus (Raft) to distributed data correctly
  • Decompose a monolith into microservices with proper service boundaries and communication patterns
  • Design for observability, reliability, and security — monitoring, SLOs, auth, and common attack vectors
  • Work through three full end-to-end designs — a URL shortener, a chat system, and a news feed — and present them clearly
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