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docs(guide): update Korean README to reflect context infrastructure for LLM coding agents
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README.md

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Local code analysis tool that parses codebases via Tree-sitter into a knowledge graph. Supports 12 languages, 33 MCP tools, and custom annotation search.
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CCG is built primarily for GPT, Claude, Codex, and other LLM-based coding agents. It acts as local or self-hosted context infrastructure: agents can search code by intent, inspect call graphs, trace impact, retrieve docs, and keep responses bounded instead of reading entire repositories into context.
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This is a developer-operated tool, not a general SaaS admin product. The expected users are coding agents and developers who can run CLI commands, configure MCP, read logs, and use the generated graph/docs to guide code changes.
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Inspired by [code-review-graph](https://github.com/tirth8205/code-review-graph) — a Python-based code analysis tool. This project reimplements and extends the concept in Go with multi-DB support, custom annotation system, and MCP integration for AI-powered code understanding.
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## Features

guide/ko/README.md

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code-context-graph의 문서 인덱스입니다. 한국어 문서는 영어 가이드를 미러링하며, 코드 및 CLI 식별자는 원문 그대로 유지합니다.
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CCG는 GPT, Claude, Codex 같은 LLM 기반 코딩 에이전트가 개발 중 코드베이스 맥락을 정확하고 작게 가져오도록 만든 로컬/셀프호스트 context infrastructure입니다. 일반 SaaS 관리자용 제품이 아니라, CLI, MCP, 로그, 문서를 이해하는 개발자와 코딩 에이전트가 코드 검색, 영향 분석, 호출 그래프, 문서/RAG, bounded response를 활용하도록 설계되었습니다.
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| 문서 | 설명 |
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|------|------|
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| [CLI 레퍼런스](cli-reference.md) | 모든 CLI 명령어, 옵션 및 설정 파일(`.ccg.yaml`) 안내 |

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