Case Study
Backend Interview Guide
Korean backend interview guide organized across database, cloud, system design, and programming, drafted and reviewed with Codex, Claude Code, and an agent harness.
A Korean-language knowledge base for backend interviews — built because solid mid-to-senior interview material in Korean is genuinely hard to find. It’s Markdown-first and organized for prep, not flashcards: each topic is about explaining trade-offs out loud, not memorizing a definition.
What’s covered
Four categories, 69 topic documents in total:
- Database (17) — modeling, transactions, caching, NoSQL, optimization
- Cloud (20) — Kubernetes, serverless, networking, security, ops automation
- System Design (21) — scalability, load balancing, multi-tenancy, security design
- Programming (11) — languages, data structures, algorithms, concurrency, testing
How it was written
This was also an experiment in agent-assisted writing at scale: I used Codex, Claude Code, and an agent harness to draft and review documents in parallel, then made a final human pass to flatten the tone and cut weak explanations. The harness behind it — separate writer, reviewer, and consistency-checker agents instead of one all-in-one — is its own write-up: Three Agents, One Document. Keeping 69 docs coherent meant leaning on structure — category indexes, consistent topic boundaries, and a Markdown link checker so navigation doesn’t rot as the corpus grows. Licensed CC BY 4.0.