mgrep

Semantic code search lets you find code logic and implementations using descriptive natural language queries instead of exact string matches. You can retrieve contextually relevant project files by querying for intent, such as asking for code that handles user input validation and rate limiting.

Integrated web search enables you to look up up-to-date technical documentation, API references, and security standards directly without switching to a separate search tool. This functionality delivers contextually relevant results for descriptive technical queries within your workflow.

Using natural language intent queries is the best way to locate existing authentication-related code in your project. This semantic search approach finds conceptually relevant implementations without requiring you to know the exact variable names or regex patterns used in the codebase.

You should use semantic search over traditional grep when you need to find code based on conceptual meaning, intent, or natural language descriptions rather than exact strings. Grep requires exact string or regex matching, which fails when you do not know the precise keywords used in the code.

Natural language query search works for both local project files and external web information. It provides local semantic search across project files for codebase exploration and integrated web search functionality to deliver contextually relevant results for research into technical best practices and standards.