Benzi is an AI coding agent that uses tree-sitter to parse and index entire codebases into queryable maps before answering questions, enabling O(1) lookups instead of dumping repositories into context windows. Benchmarked on SWE-bench Verified's 500 Python issues with DeepSeek v4-flash, it outperforms alternatives like Claude Code and Cursor in efficiency. The tool supports ten programming languages plus markup, includes gated edits with syntax checking, and is available free with live demos and VS Code integration.
Benzi is a code intelligence harness that outperforms Claude Code and CodeGraph on bug-fixing benchmarks, resolving 78.2% of 500 real GitHub issues at under 10¢ per fix on SWE-bench Verified. Comparisons across 24 issues in 10 languages show Benzi requires fewer lines read and lower costs as difficulty increases, while Claude Code's expense climbs more steeply with problem complexity.