---
title: "ponytail"
type: "tool"
slug: "dietrichgebert-ponytail"
canonical_url: "https://www.graphcanon.com/tools/dietrichgebert-ponytail"
github_url: "https://github.com/DietrichGebert/ponytail"
homepage_url: "https://ponytail.dev"
stars: 76714
forks: 4088
primary_language: "JavaScript"
license: "MIT"
categories: ["ai-agents"]
tags: ["agent-skills", "llm", "yagni", "claude", "claude-code-plugin", "prompt-engineering", "developer-tools", "ai-agents"]
updated_at: "2026-07-07T18:59:15.375313+00:00"
---

# ponytail

> Makes your AI agent think like the laziest senior dev in the room.

Ponytail is an AI tool designed to optimize code generation by minimizing unnecessary lines and improving efficiency. It aims to make AI agents more productive with less code and fewer resources, while ensuring safety.

## Facts

- Repository: https://github.com/DietrichGebert/ponytail
- Homepage: https://ponytail.dev
- Stars: 76,714 · Forks: 4,088 · Open issues: 127 · Watchers: 181
- Primary language: JavaScript
- License: MIT
- Last pushed: 2026-07-07T02:06:38+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)

## Tags

agent-skills, llm, yagni, claude, claude-code-plugin, prompt-engineering, developer-tools, ai-agents

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## README (excerpt)

```text
<p align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="assets/logo-dark.png">
    <img src="assets/logo.png" width="220" alt="Ponytail, the lazy senior dev">
  </picture>
</p>

<h1 align="center">Ponytail</h1>

<p align="center">
  <em>He says nothing. He writes one line. It works.</em>
</p>

<p align="center">
  <img src="https://img.shields.io/github/stars/DietrichGebert/ponytail?style=flat-square&color=111111&label=stars" alt="Stars">
  <img src="https://img.shields.io/github/v/release/DietrichGebert/ponytail?style=flat-square&color=111111&label=release" alt="Release">
  <img src="https://img.shields.io/npm/v/@dietrichgebert/ponytail?style=flat-square&color=111111&label=npm" alt="npm">
  <img src="https://img.shields.io/badge/works%20with-16%20agents-111111?style=flat-square" alt="Works with 16 agents">
  <img src="https://img.shields.io/badge/license-MIT-111111?style=flat-square" alt="MIT license">
</p>

<p align="center">
  <a href="https://trendshift.io/repositories/50668" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/trendshift/repositories/50668/daily" alt="DietrichGebert/ponytail | Trendshift" width="250" height="55"/></a>
  <a href="https://trendshift.io/repositories/50668" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/trendshift/repositories/50668/weekly" alt="DietrichGebert/ponytail | Trendshift" width="250" height="55"/></a>
</p>

<p align="center">
  <strong>~54% less code (up to 94%) &middot; ~20% cheaper &middot; ~27% faster &middot; 100% safe</strong><br>
  <sub>Measured on real Claude Code sessions editing a real open-source repo (FastAPI + React), against the same agent with no skill. ~54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agent over-builds (a date picker) and is near zero where the code is already minimal. ponytail keeps every safety guard while a bare "write one-liners" prompt drops one. (The earlier single-shot benchmark reported 80-94% as a flat figure; against a fair agentic baseline that is the per-task ceiling, not the average.) <a href="benchmarks/results/2026-06-18-agentic.md">Full writeup</a> &middot; <a href="benchmarks/">reproduce it</a>.</sub>
</p>

<p align="center">
  <sub><a href="README.es.md">Español</a> &middot; <a href="README.ko.md">한국어</a></sub>
</p>

---

<p align="center">
  <a href="https://ponytail.dev/soon"><img src="assets/waitlist-banner.png" alt="Something's coming, join the waitlist" width="760"></a>
</p>

You know him. Long ponytail. Oval glasses. Has been at the company longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one.

Ponytail puts him inside your AI agent.

## Before / after

You ask for a date picker. Your agent installs flatpickr, writes a wrapper component, adds a stylesheet, and starts a discussion about timezones.

With ponytail:

```html

<input type="date">
```

More survivors in [examples/](examples/).

## Numbers

The honest measurement is a real agent doing real work: a headless Claude Code session editing [tiangolo's full-stack-fastapi-template](https://github.com/fastapi/full-stack-fastapi-template) (a real FastAPI + React repo), scored on the `git diff` it leaves behind. Twelve feature tickets, the same agent with and without the skill, n=4, Haiku 4.5.

<p align="center">
  <img src="assets/benchmark-agentic.svg" width="860" alt="Each arm as a percent of the no-skill baseline across LOC, tokens, cost and time (Haiku 4.5). ponytail is lowest on every metric (LOC 46%, tokens 78%, cost 80%, time 73%); caveman rises above 100% on tokens, cost and time; yagni-oneliner LOC 67%. Safety, separate adversarial tier: baseline, caveman and ponytail 100%, yagni-oneliner 95%.">
</p>

| vs no-skill baseline | LOC | tokens | cost | time | safe |
|---|--:|--:|--:|--:|--:|
| **ponytail** | **-54%** | **-22%** | **-20%** | **-27%** | **100%** |
| caveman (terse
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/dietrichgebert-ponytail`](/api/graphcanon/tools/dietrichgebert-ponytail)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
