Speed Up Your Python Scripts with Rust: A Levenshtein Distance Case Study

Cover image generated by Nano Banana Disclaimer: A 50x speedup is not guaranteed. Actual performance depends on the nature of the dataset and the hardware on which the code is run. Please refer to the Benchmarks section below for more information. Introduction Recently, I finally found some time to learn the Rust programming language. I find its memory safety guarantee quite elegant, although it comes with the trade-off of a steep learning curve, especially when it comes to Rust’s ownership and lifetime system. It is very appealing to someone like me, who mainly uses a scripting language and who writes low-level code only from time to time. Writing C/C++ code can easily lead to unstable runtime behavior or unexpected results in such circumstances. ...

December 21, 2025 · Ceshine Lee

Building Gemini CLI Usage Analyzer

Gemini CLI Usage Analyzer Project Banner Introduction Last week, I developed a lightweight command-line tool for analyzing Gemini CLI token usage and open-sourced it on GitHub. You can find the project at ceshine/gemini-cli-usage-analyzer. This post outlines why I built the tool, the technical challenges encountered during development, and the solutions implemented to resolve them. Note: Currently, the tool focuses on single-project analysis. Unlike Claude Code, which centralizes logs (e.g., in ~/.claude on Linux) to analyze overall cross-project usage by default, Gemini CLI lacks a built-in mechanism for unified log management across different projects. Support for aggregating statistics across multiple projects is on the development roadmap. ...

December 6, 2025 · Ceshine Lee