Need for speed: static analysis version

Semgrep has achieved exceptionally fast code analysis speeds by focusing on efficient, syntax-based scanning techniques, such as taint summaries and tree matching, using the OCaml programming language. Its design prioritizes speed through methods like purely textual single-file analysis, partial parsing, and by skipping files that cannot produce matches, making it suitable for integration into developers' workflows. Semgrep's approach involves only tackling analyses it can complete quickly and effectively, which has led to its success as a tool that balances syntactic and semantic analysis. By employing strategies like incremental taint analysis and collecting taint summaries, Semgrep avoids the computational intensity of traditional static analysis tools, allowing it to perform complex analyses in a time-efficient manner. Its evolution from a tool focused on matching program text to one that incorporates features like constant propagation and dataflow analysis has enabled it to maintain its speed while expanding its capabilities, making it a practical choice for both vulnerability detection and code review automation.