ggrep is a semantic search tool that allows you to find code based on meaning and behavior rather than exact text matches.

Can I limit the search to specific folders?

Yes, ggrep supports path constraints, allowing you to focus your semantic search on specific directories within your project.

How does ggrep differ from standard grep?

Standard grep looks for literal strings, whereas ggrep understands concepts like 'authentication logic' or 'configuration merging' even if those words aren't in the code.

What should I do if a code snippet is truncated?

ggrep provides previews up to 16 lines. If a result is relevant but cut off, you should use a file reading tool to view the full source code.

Does ggrep work while the index is building?

If the tool reports it is still indexing, search results will be partial. It is recommended to wait for the index to complete for full coverage.

Adaptive Semantic Code Search

Name: Adaptive Semantic Code Search
Author: GoodFarming

byGoodFarming

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Developer Tools

Locates code logic and architectural patterns using natural language queries instead of exact string matches.

About

ggrep is a specialized semantic search tool designed to help developers navigate complex codebases by finding code based on intent, concept, or behavior. Unlike traditional grep which requires exact text matches, ggrep allows you to ask questions like 'how are plugins loaded' or 'where is auth validated' to pinpoint relevant implementation details. It is particularly effective for mapping system-level architectures, understanding distributed patterns, and onboarding to new repositories where the specific naming conventions are not yet known.

Key Features

2 GitHub stars
Path-scoped searching for focused code discovery
Architectural mapping across distributed files and services
Contextual snippets with file paths and line numbers
Conceptual search using natural language queries
Semantic detection of classes and function definitions

Use Cases

Mapping high-level system architecture and middleware patterns
Onboarding to large, unfamiliar codebases by searching for behaviors
Locating specific logic or algorithms when function names are unknown

About

Key Features

2 GitHub stars
Path-scoped searching for focused code discovery
Architectural mapping across distributed files and services
Contextual snippets with file paths and line numbers
Conceptual search using natural language queries
Semantic detection of classes and function definitions

Use Cases

Mapping high-level system architecture and middleware patterns
Onboarding to large, unfamiliar codebases by searching for behaviors
Locating specific logic or algorithms when function names are unknown