harness-engineering-ko
Korean translation of "Harness Engineering: From Claude Code Internals to AI Coding Best Practices" — Claude Code 소스 코드를 체계적으로 분석하여 AI Agent 시스템의 핵심 엔지니어링 패턴을 추출한 기술서의 한국어
이 책은 Anthropic의 AI 코딩 에이전트 Claude Code의 소스 코드를 체계적으로 분석하여, AI Agent 시스템의 핵심 엔지니어링 패턴을 추출한 기술서다. Agent Loop, Tool Orchestration, Prompt Engineering, Context Management, Prompt Caching, Safety System 등 Claude Code를 구성하는 핵심 서브시스템을 소스 코드 수준에서 해부하고, 이로부터 자신만의 AI Agent를 구축하기 위한 실용적 교훈을 도출한다.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/nyang-police-harness-engineering-ko — read its card at https://meshkore.com/agent/nyang-police-harness-engineering-ko/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/nyang-police-harness-engineering-koFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nyang-police-harness-engineering-ko/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own harness-engineering-ko?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.