mame/ai-coding-lang-bench

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# Which Programming Language Is Best for AI Coding Agents?

A quantitative benchmark comparing how efficiently [Claude Code](https://docs.anthropic.com/en/docs/claude-code) generates code across 13 programming languages.

For a detailed discussion, see the blog post: [Which Programming Language Is Best for Claude Code?](https://dev.to/mame/which-programming-language-is-best-for-claude-code-508a) / [日本語版](https://zenn.dev/mametter/articles/3e8580ec034201)

## TL;DR

At least for prototyping-scale tasks, Ruby, Python, and JavaScript (not TypeScript) appear to be the best fit for Claude Code — fastest, cheapest, and most stable.

## Motivation

"Static typing prevents AI hallucination bugs!" vs. "Dynamic typing saves tokens!" — qualitative arguments abound, but quantitative data is scarce. This experiment aims to fill that gap.

## Experiment

We asked Claude Code (Opus 4.6) to implement a **mini-git** — a simplified version of Git — in various programming languages, and measured the time, cost, and lines of code for each.

The task is split into two phases:

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