Vibe Coding DiscoverBenzi
View on GitHubBenzi is AI-native code intelligence infrastructure. Claude Code greps; Cursor embeds; Aider maps signatures; Benzi resolves — and answers in O(1). Every language runs its own tree-sitter grammar into the same query map.
Compiler-backed code intelligence infrastructure for AI coding agents. It builds a tree-sitter index with resolved symbols, call relationships, and data flow, then exposes structured query, edit, test, and rollback tools, including MCP compatibility.
Use Cases
Index a codebase for agent queriesTrace callers and data flow to assess change impactFind definitions, references, and type hierarchiesDebug defects with runtime tracingMake and validate code editsRun focused tests and revert changes
Built With
- Language
- Python
- Frameworks
- tree-sitter · MCP
Tags
AI coding agent · code intelligence · code indexing · tree-sitter · MCP · call graph · data flow · symbol resolution · runtime tracing · automated code editing · incremental indexing