code-intelligence

Semantic code search finds code based on meaning rather than exact keywords. By utilizing AST parsing and graph-based analysis, this capability enables developers to query codebases using natural language questions to locate relevant symbols and functions.

Change impact analysis predicts the consequences of code modifications before they are made. It works by mapping dependencies and relationships between files and functions, allowing developers to identify potential ripple effects and understand where specific modules are used.

Dependency mapping visualizes and analyzes relationships between files and functions within a codebase. By leveraging graph-based analysis, it helps developers understand complex code relationships and track how different components depend on each other during refactoring.

Codebase intelligence supports multiple programming languages through AST parsing and graph-based analysis. This allows developers to perform symbol search, dependency tracking, and impact assessment across diverse codebases without being restricted to a single language environment.

The best way to assess ripple effects before refactoring is through change impact analysis. By mapping dependencies and performing semantic search, you can identify all places a critical module is used and understand the potential consequences of modifying it.

Yes, you can ask natural language questions about your codebase using the codebase Q&A feature. It leverages deep code analysis and graph-based intelligence to provide answers regarding code relationships, symbol locations, and dependency structures.