Is CodeMap compatible with existing Claude Code tools?

Yes, it is designed to work alongside standard tools like Bash and Grep, acting as a high-efficiency discovery layer for your existing development environment.

Do I need to manually update the index?

While you can run 'codemap update' manually, you can also use 'codemap install-hooks' to set up git hooks that automatically keep the index synchronized with your changes.

How does CodeMap reduce token consumption?

It creates a structural index of line ranges for every symbol, allowing Claude to read only the specific code blocks relevant to your task instead of the entire file.

Which symbol types can CodeMap identify?

CodeMap indexes various structural elements including classes, functions, methods, async functions, TypeScript interfaces, type aliases, and enums.

CodeMap Indexer

Name: CodeMap Indexer
Author: AZidan

byAZidan

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개발자 도구

Navigates codebases efficiently using structural indexes to reduce token consumption by up to 80%.

소개

CodeMap is a specialized tool designed to help Claude navigate large repositories by creating and maintaining a structural index in .codemap/ directories. It allows the AI to perform targeted line-range reads instead of scanning entire files, significantly cutting down on context window usage and improving response speed. By identifying the exact location of classes, methods, and functions, it enables more precise code exploration and editing without the overhead of processing irrelevant code blocks.

주요 기능

Targeted line-range reads to save 60-80% in token costs
Visual file structure summaries for quick orientation
37 GitHub stars
Validation tools to ensure cached indices remain up-to-date
Structural indexing of classes, functions, and methods
Instant symbol search across the entire project

사용 사례

Exploring a large, unfamiliar codebase to find specific logic
Mapping out dependencies and symbol definitions before refactoring
Reducing API costs when working with high-token-count files

소개

주요 기능

Targeted line-range reads to save 60-80% in token costs
Visual file structure summaries for quick orientation
37 GitHub stars
Validation tools to ensure cached indices remain up-to-date
Structural indexing of classes, functions, and methods
Instant symbol search across the entire project

사용 사례

Exploring a large, unfamiliar codebase to find specific logic
Mapping out dependencies and symbol definitions before refactoring
Reducing API costs when working with high-token-count files