I write about the engineering work behind AI developer tools: agent frameworks, SDK design, multi-agent orchestration, and the practical tradeoffs that show up when prototypes become production systems.

This is also where I collect notes from building software across cloud infrastructure, platform engineering, and developer experience. The goal is to keep the writing concrete: implementation details, design choices, lessons from real projects, and the occasional field note from life and work in Seoul.

Start here if you want practical notes from someone working on AI tooling close to the metal: APIs, releases, debugging paths, and the product constraints that shape what developers can actually use in production over time.