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Understand, navigate, and modify complex codebases with semantic search and dependency insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-intel" yet — see the docs or source repo.
Semantically search this codebase for implementations related to 'user permission checks' and 'role-based access control'. Identify the main entry files, call chain, and core dependent modules, then summarize them in English.
Returns relevant code locations, key functions or classes, dependency relationships, and an explanation of the feature entry point.
I want to refactor the payment module. Analyze dependencies between the payment-related directories and other modules, identify upstream callers, downstream dependencies, the potential impact scope, and list high-risk change points.
Provides an architecture overview, impact analysis, and a list of refactoring risks.
Based on the existing project architecture, find the full report-generation flow from the API to the service layer and data access layer, then modify it to support region-based filtering; also explain which tests and configuration files must be updated.
Produces a proposed code change plan or edits, along with affected files and required test updates.
Query and understand large codebases with a fast knowledge graph for AI agents.
Index codebases with AST awareness and retrieve code context via semantic search.
Search codebases semantically and find relevant snippets with source locations.
Gives AI coding agents semantic code graphs for faster, more precise answers.
Audit code, query knowledge graphs, and generate project docs through MCP.
Query, understand, and edit large multilingual codebases with AI knowledge graphs.